Academic literature on the topic 'Multi-Objective Planning'

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Journal articles on the topic "Multi-Objective Planning"

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Roijers, Diederik M. "Multi-objective decision-theoretic planning." AI Matters 2, no. 4 (December 8, 2016): 11–12. http://dx.doi.org/10.1145/3008665.3008670.

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Craft, D. L., T. Halabi, and T. Bortfeld. "Multi-Objective IMRT Treatment Planning." International Journal of Radiation Oncology*Biology*Physics 69, no. 3 (November 2007): S658. http://dx.doi.org/10.1016/j.ijrobp.2007.07.2009.

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Ramirez-Atencia, Cristian, and David Camacho. "Constrained multi-objective optimization for multi-UAV planning." Journal of Ambient Intelligence and Humanized Computing 10, no. 6 (July 4, 2018): 2467–84. http://dx.doi.org/10.1007/s12652-018-0930-0.

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C.Kavitha, C. Kavitha, and C. Vijayalakshmi C. Vijayalakshmi. "Design and Implementation of Fuzzy Multi Objective Optimization Model for Production Planning." Indian Journal of Applied Research 3, no. 12 (October 1, 2011): 372–75. http://dx.doi.org/10.15373/2249555x/dec2013/113.

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Geißer, Florian, Patrik Haslum, Sylvie Thiébaux, and Felipe Trevizan. "Admissible Heuristics for Multi-Objective Planning." Proceedings of the International Conference on Automated Planning and Scheduling 32 (June 13, 2022): 100–109. http://dx.doi.org/10.1609/icaps.v32i1.19790.

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Planning problems of practical relevance commonly include multiple objectives that are difficult to weight a priori. Several heuristic search algorithms computing the Pareto front of non-dominated solutions have been proposed to handle these multi-objective (MO) planning problems. However, the design of informative admissible heuristics to guide these algorithms has not received the same level of attention. The standard practice is to use the so-called ideal point combination, which applies a single-objective heuristic to each objective independently, without capturing any of the trade-offs between them. This paper fills this gap: we extend several classes of classical planning heuristics to the multi-objective case, in such a way as to reflect the tradeoffs underlying the various objectives. We find that MO abstraction heuristics achieve overall the best performance, but that not every MO generalisation pays off.
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Agha, Amin Al. "Multi-objective methods in development planning." International Journal of Applied Nonlinear Science 2, no. 1/2 (2015): 3. http://dx.doi.org/10.1504/ijans.2015.076519.

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Gharakhani, Mohsen. "A robust multi-objective production planning." International Journal of Industrial Engineering Computations 1, no. 1 (July 1, 2010): 73–78. http://dx.doi.org/10.5267/j.ijiec.2010.01.007.

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Yu, Zhao, Shuanbao Niu, Chao Huo, Ning Chen, Kaige Song, Xiaohui Wang, and Yu Bai. "Multi-objective partition planning for multi-infeed HVDC system." Global Energy Interconnection 4, no. 1 (February 2021): 81–90. http://dx.doi.org/10.1016/j.gloei.2021.03.008.

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Xia, Zheng Hong, and Wei Jun Pan. "Multi-Objective Distribution of Multi-Helicopters and Track Planning." Applied Mechanics and Materials 380-384 (August 2013): 1637–40. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.1637.

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The multi-objective distribution of multi-helicopter based on the feasibility matrix was proposed in this paper, which enhanced the effectiveness of aviation emergency rescue. The horizontal track planning of helicopters was put forward based on the morphology graphic process technology and heuristic A* search algorithm, which can obtain the feasible shortest flight path with the condition of safety separation.
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Trzaskalik, T. "Multi-objective, multi-period planning for a manufacturing plant." Engineering Costs and Production Economics 20, no. 2 (October 1990): 113–20. http://dx.doi.org/10.1016/0167-188x(90)90095-y.

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Dissertations / Theses on the topic "Multi-Objective Planning"

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Dasgupta, Sumantra. "Multi-objective stochastic path planning." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2755.

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Mohamed, Radzi Nor Haizan. "Multi-objective planning using linear programming." Thesis, University of Strathclyde, 2010. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=15344.

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Oral, Tugcem. "Multi-objective Path Planning For Virtual Environments." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614643/index.pdf.

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Path planning is a crucial issue for virtual environments where autonomous agents try to navigate from a specific location to a desired one. There are several algorithms developed for path planning, but several domain requirements make engineering of these algorithms difficult. In complex environments, considering single objective for searching and finding optimal or sub-optimal paths becomes insufficient. Thus, multi objective cases are distinguished and more complicated algorithms to be employed is required. It can be seen that more realistic and robust results can be obtained with these algorithms because they expand solution perspective into more than one criteria. Today, they are used in various games and simulation applications. On the other hand, most of these algorithms are off-line and delimitate interactive behaviours and dynamics of real world into a stationary virtuality. This situation reduces the solution quality and boundaries. Hence, the necessity of solutions where multi objectivity is considered in a dynamic environment is obvious. With this motivation, in this work, a novel multi objective incremental algorithm, MOD* Lite, is proposed. It is based on a known complete incremental search algorithm, D* Lite. Solution quality and execution time requirements of MOD* Lite are compared with existing complete multi objective off-line search algorithm, MOA*, and better results are obtained.
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Sroka, Michal. "Multi-objective planning using a metric sensitive planner." Thesis, King's College London (University of London), 2015. https://kclpure.kcl.ac.uk/portal/en/theses/multiobjective-planning-using-a-metric-sensitive-planner(8874baf3-9d09-468e-9b5b-bdf25b996f24).html.

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Automated planning addresses the problem of generating a sequence of actions to satisfy given goal conditions for a constructed model of the world. In recent planning approaches heuristic guidance is used to lead the search towards the goal. The focus of this work is on domains where plan quality is assessed with plan metrics. A discussion of the impact of a popular relaxed planning graph heuristic on the quality of plans in such domains is presented. The relaxed planning graph heuristic bias towards shorter plans, irrespective of quality, is described. A novel approach to constructing the relaxed planning graph based on metric cost is presented to overcome this bias and to generate good quality plans. A notion of metric sensitivity as the ability of a planner to respond to the change of the plan metric, is introduced and methods to determine metric sensitivity are presented. Current state-of-the-art planners are evaluated in terms of their metric sensitivity. This research also tackles the problem of planning in multiobjective domains, where quality of a plan is evaluated using multiple plan metrics. For multiobjective domains the solution is no longer a single plan but a set of plans. A set of non dominated solutions is called a pareto frontier. This thesis contains a discussion on the desired properties of such sets of plans and methods of generating them. Metric sensitivity is a required property for a planner to effectively reason with user defined metrics and generate desired set of plans. The main significant contributions of the work described in the thesis are: 1. A definition and exploration of metric sensitivity in planning. 2. A context-dependent, cost-based relaxed planning graph and heuristic. 3. A compilation method from cost to temporal domains. 4. Examination of the impact of planners’ properties on the quality of plans and APFs.
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Tuyiragize, Richard. "Multi-objective optimization techniques in electricity generation planning." Doctoral thesis, University of Cape Town, 2011. http://hdl.handle.net/11427/10720.

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The objective of this research is to develop a framework of multi-objective optimization (MOO) models that are better capable of providing decision support on future long-term electricity generation planning (EGP), in the context of insufficient electricity capacity and to apply it to the electricity system for a developing country. The problem that motivated this study was a lack of EGP models in developing countries to keep pace with the countries' socio-economic and demographic dynamics. This research focused on two approaches: mathematical programming (MP) and system dynamics (SD). Detailed model descriptions, formulations, and implementation results are presented in the thesis along with the observations and insights obtained during the course of this research.
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Limaye, Ameya Shankar. "Multi-objective process planning method for Mask Projection Stereolithography." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19717.

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Mask Projection Stereolithography (MPSLA) is a high resolution manufacturing process that builds parts layer by layer in a photopolymer. In this research, a process planning method to fabricate MPSLA parts with constraints on dimensions, surface finish and build time is formulated. As a part of this dissertation, a MPSLA system is designed and assembled. The irradiance incident on the resin surface when a given bitmap is imaged onto it is modeled as the Irradiance model . This model is used to formulate the Bitmap generation method which generates the bitmap to be imaged onto the resin in order to cure the required layer. Print-through errors occur in multi-layered builds because of radiation penetrating beyond the intended thickness of a layer, causing unwanted curing. In this research, the print through errors are modeled in terms of the process parameters used to build a multi layered part. To this effect, the Transient layer cure model is formulated, that models the curing of a layer as a transient phenomenon, in which, the rate of radiation attenuation changes continuously during exposure. In addition, the effect of diffusion of radicals and oxygen on the cure depth when discrete exposure doses, as opposed to a single continuous exposure dose, are used to cure layers is quantified. The print through model is used to formulate a process planning method to cure multi-layered parts with accurate vertical dimensions. This method is demonstrated by building a test part on the MPSLA system realized as a part of this research. A method to improve the surface finish of down facing surfaces by modulating the exposure supplied at the edges of layers cured is formulated and demonstrated on a test part. The models formulated and validated in this dissertation are used to formulate a process planning method to build MPSLA parts with constraints on dimensions, surface finish and build time. The process planning method is demonstrated by means of a case study.
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Nordström, Peter. "Multi-objective optimization and Pareto navigation for voyage planning." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-220338.

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The shipping industry is very large and ships require a substantial amount of fuel. However, fuel consumption is not the only concern. Time of arrival, safety concerns, distance travelled etc. are also of importance and these objectives might be inherently conflicting. This thesis aims to demonstrate multi-objective optimization and Pareto navigation for application in voyage planning. In order to perform this optimization, models of weather, ocean conditions, ship dynamics and propulsion system are needed. Statistical methods for estimation of resistance experienced in calm and rough sea are used. An earlier developed framework is adopted to perform the optimization and Pareto navigation. The results show that it is a suitable approach in voyage planning. A strength of the interactive Pareto navigation is the overview of the solution space presented to the decision maker and the control of the spread of the objective space. Another benefit is the possibilities of assigning specific values on objectives and setting thresholds in order to narrow down the solution space. The numerical results reinforces the trend of slow steaming to decrease fuel consumption.
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Matthews, Keith B. "Applying genetic algorithms to multi-objective land-use planning." Thesis, Robert Gordon University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.344018.

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El-Sayed, Jacqueline Johnson. "Multi-objective optimization of manufacturing processes design /." free to MU campus, to others for purchase, 1997. http://wwwlib.umi.com/cr/mo/fullcit?p9841282.

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Menon, U. "A multi-objective production planning framework for automated manufacturing systems." Thesis, University of Nottingham, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.356077.

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Books on the topic "Multi-Objective Planning"

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Pukkala, Timo, ed. Multi-objective Forest Planning. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-015-9906-1.

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Ramanujam, Vasudevan. Multi-objective assessment of strategic planning effectiveness: A discriminant analysis approach. [Urbana, Ill.]: College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1985.

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Ramanujam, Vasudevan. Multi-objective assessment of strategic planning effectiveness: A discriminant analysis approach. Cambridge, Mass: Sloan School of Management, Massachusetts Institute of Technology, 1985.

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Painho, Marco. Alternative plan formulation: the application of a multi-objective programming model in landscape/land use planning. Amherst: Massachusetts Agricultural Experiment Station, 1987.

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Pukkala, Timo. Multi-Objective Forest Planning. Springer London, Limited, 2013.

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Pukkala, Timo. Multi-objective Forest Planning. Springer, 2010.

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Pukkala, Timo. Multi-objective Forest Planning. Springer, 2014.

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Multi-Objective Forest Planning (Managing Forest Ecosystems). Springer, 2002.

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Multi-Objective Mission Route Planning Using Particle Swarm Optimization. Storming Media, 2002.

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Brownley, Clinton W. Multi-Objective Decision Analysis: Managing Trade-Offs and Uncertainty. Business Expert Press, 2013.

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Book chapters on the topic "Multi-Objective Planning"

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Pal, Bijay Baran. "Interval-Valued Goal Programming Method to Solve Patrol Manpower Planning Problem for Road Traffic Management Using Genetic Algorithm." In Multi-Objective Optimization, 79–113. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1471-1_4.

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Lootsma, Freerk A. "Fuzzy Multi-Objective Optimization." In Fuzzy Logic for Planning and Decision Making, 163–82. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4757-2618-3_7.

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Jalel, Sawssen, Philippe Marthon, and Atef Hamouda. "NURBS Based Multi-objective Path Planning." In Lecture Notes in Computer Science, 190–99. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19264-2_19.

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Pukkala, Timo. "Introduction to Multi-Objective Forest Planning." In Managing Forest Ecosystems, 1–19. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-015-9906-1_1.

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Chu, Sydney C. K., and Christina S. Y. Yuen. "Planning and Scheduling Staff Duties by Goal Programming." In Multi-Objective Programming and Goal Programming, 309–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-36510-5_45.

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Proag, Virendra. "Multi Objective Evaluation Criteria for Infrastructure." In Infrastructure Planning and Management: An Integrated Approach, 411–40. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48559-7_15.

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Tsuji, Kiichiro. "Optimization Models for Planning Future Energy Systems in Urban Areas." In Multi-Objective Programming and Goal Programming, 57–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-36510-5_6.

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Liu, Ning, David Plets, Wout Joseph, and Luc Martens. "Hybrid Multi-objective Network Planning Optimization Algorithm." In Lecture Notes in Electrical Engineering, 73–85. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05440-7_7.

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Seyedzadeh, Saleh, and Farzad Pour Rahimian. "Multi-objective Optimisation and Building Retrofit Planning." In Green Energy and Technology, 31–39. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64751-3_3.

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Juan, Jayne San, Amiel Ching, Charles Chua, Lorenzo Dyogi, and Charlle Sy. "Multi-Objective Optimization for Energy Network Planning." In Optimization for Energy Systems and Supply Chains, 201–20. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003240228-14.

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Conference papers on the topic "Multi-Objective Planning"

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Xu, Zhao, Zhao Yang Dong, Kit Po Wong, and Zhun Fan. "Multi-Objective Transmission Planning." In 2009 Asia-Pacific Power and Energy Engineering Conference. IEEE, 2009. http://dx.doi.org/10.1109/appeec.2009.4918509.

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Jing Gong. "Multi-objective planning and scheduling." In 2010 2nd International Conference on Mechanical and Electrical Technology (ICMET). IEEE, 2010. http://dx.doi.org/10.1109/icmet.2010.5598388.

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Xiaoming, Wang, Yan Jubin, Huang Yan, Chen Hanlin, Zhang Xuexia, Zang Tianlei, and Yu Zixuan. "Multi-objective transmission network planning based on multi-objective optimization algorithms." In 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2017. http://dx.doi.org/10.1109/ei2.2017.8245710.

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Chen, Xing, Rong Xu, and Jiabao Zhao. "Multi-Objective Route Planning for UAV." In 2017 4th International Conference on Information Science and Control Engineering (ICISCE). IEEE, 2017. http://dx.doi.org/10.1109/icisce.2017.215.

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Zhaoyu Zhang, Xin Di, Jun Tian, and Zhou Zhu. "A multi-objective WLAN planning method." In 2017 International Conference on Information Networking (ICOIN). IEEE, 2017. http://dx.doi.org/10.1109/icoin.2017.7899482.

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Sukkerd, Roykrong, Reid Simmons, and David Garlan. "Towards explainable multi-objective probabilistic planning." In ICSE '18: 40th International Conference on Software Engineering. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3196478.3196488.

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Haqqani, Mohammad, Xiaodong Li, and Xinghuo Yu. "Multi-objective journey planning under uncertainty." In GECCO '18: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3205455.3205556.

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Mouaddib, A. I. "Multi-objective decision-theoretic path planning." In IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004. IEEE, 2004. http://dx.doi.org/10.1109/robot.2004.1307487.

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Jin, Bo. "Multi-Objective A* Algorithm for the Multimodal Multi-Objective Path Planning Optimization." In 2021 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2021. http://dx.doi.org/10.1109/cec45853.2021.9504943.

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Sabol, George V., and Chuck Williams. "Little Colorado River Watershed, Multi-Objective Management." In 29th Annual Water Resources Planning and Management Conference. Reston, VA: American Society of Civil Engineers, 1999. http://dx.doi.org/10.1061/40430(1999)90.

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Reports on the topic "Multi-Objective Planning"

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Pierre, Brian, Robert Broderick, Mercy DeMenno, Joseph Paladino, and Jennifer Yoshimura. MOD-Plan: Multi-Objective Decision Planning Framework for Electric Grid Resilience, Equity, and Decarbonization. Office of Scientific and Technical Information (OSTI), August 2022. http://dx.doi.org/10.2172/1885093.

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Sett, Dominic, Florian Waldschmidt, Alvaro Rojas-Ferreira, Saut Sagala, Teresa Arce Mojica, Preeti Koirala, Patrick Sanady, et al. Climate and disaster risk analytics tool for adaptive social protection. United Nations University - Institute for Environment and Human Security, March 2022. http://dx.doi.org/10.53324/wnsg2302.

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Adaptive Social Protection (ASP) as discussed in this report is an approach to enhance the well-being of communities at risk. As an integrated approach, ASP builds on the interface of Disaster Risk Management (DRM), Climate Change Adaptation (CCA) and Social Protection (SP) to address interconnected risks by building resilience, thereby overcoming the shortcomings of traditionally sectoral approaches. The design of meaningful ASP measures needs to be informed by specific information on risk, risk drivers and impacts on communities at risk. In contrast, a limited understanding of risk and its drivers can potentially lead to maladaptation practices. Therefore, multidimensional risk assessments are vital for the successful implementation of ASP. Although many sectoral tools to assess risks exist, available integrated risk assessment methods across sectors are still inadequate in the context of ASP, presenting an important research and implementation gap. ASP is now gaining international momentum, making the timely development of a comprehensive risk analytics tool even more important, including in Indonesia, where nationwide implementation of ASP is currently under way. OBJECTIVE: To address this gap, this study explores the feasibility of a climate and disaster risk analytics tool for ASP (CADRAT-ASP), combining sectoral risk assessment in the context of ASP with a more comprehensive risk analytics approach. Risk analytics improve the understanding of risks by locating and quantifying the potential impacts of disasters. For example, the Economics of Climate Adaptation (ECA) framework quantifies probable current and expected future impacts of extreme events and determines the monetary cost and benefits of specific risk management and adaptation measures. Using the ECA framework, this report examines the viability and practicality of applying a quantitative risk analytics approach for non-financial and non-tangible assets that were identified as central to ASP. This quantitative approach helps to identify cost-effective interventions to support risk-informed decision making for ASP. Therefore, we used Nusa Tenggara, Indonesia, as a case study, to identify potential entry points and examples for the further development and application of such an approach. METHODS & RESULTS: The report presents an analysis of central risks and related impacts on communities in the context of ASP. In addition, central social protection dimensions (SPD) necessary for the successful implementation of ASP and respective data needs from a theoretical perspective are identified. The application of the quantitative ECA framework is tested for tropical storms in the context of ASP, providing an operational perspective on technical feasibility. Finally, recommendations on further research for the potential application of a suitable ASP risk analytics tool in Indonesia are proposed. Results show that the ECA framework and its quantitative modelling platform CLIMADA successfully quantified the impact of tropical storms on four SPDs. These SPDs (income, access to health, access to education and mobility) were selected based on the results from the Hazard, Exposure and Vulnerability Assessment (HEVA) conducted to support the development of an ASP roadmap for the Republic of Indonesia (UNU-EHS 2022, forthcoming). The SPDs were modelled using remote sensing, gridded data and available global indices. The results illustrate the value of the outcome to inform decision making and a better allocation of resources to deliver ASP to the case study area. RECOMMENDATIONS: This report highlights strong potential for the application of the ECA framework in the ASP context. The impact of extreme weather events on four social protection dimensions, ranging from access to health care and income to education and mobility, were successfully quantified. In addition, further developments of CADRAT-ASP can be envisaged to improve modelling results and uptake of this tool in ASP implementation. Recommendations are provided for four central themes: mainstreaming the CADRAT approach into ASP, data and information needs for the application of CADRAT-ASP, methodological advancements of the ECA framework to support ASP and use of CADRAT-ASP for improved resilience-building. Specific recommendations are given, including the integration of additional hazards, such as flood, drought or heatwaves, for a more comprehensive outlook on potential risks. This would provide a broader overview and allow for multi-hazard risk planning. In addition, high-resolution local data and stakeholder involvement can increase both ownership and the relevance of SPDs. Further recommendations include the development of a database and the inclusion of climate and socioeconomic scenarios in analyses.
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Cyberpractice: Creating and Conducting Cybersecurity Exercises for the Organization: Cybersecurity Best Practices. Inter-American Development Bank, December 2022. http://dx.doi.org/10.18235/0004567.

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This guide presents the principles and rules for planning, creating, and conducting cybersecurity exercises, and the process of learning lessons from them. The document also discusses annual and multi-year exercise programs, intended to be used by organizations in their overall effort to maintain, preserve, and promote their cyberresilience. The guide is divided into two sections: the first describes the conceptual basis, while the second focuses on selected issues, helping put theory into practice. This publication is part of the "Cybersecurity Best Practices" collection, a compendium of practices, methodologies and recommendations in cybersecurity oriented to organizations, developed by the Israel National Cyber Directorate (INCD), and adapted in this series by the Inter-American Development Bank (IDB), with the objective of facilitating access to this body of knowledge throughout the Latin American and Caribbean region.
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Guidelines for the Evaluation of Hydropower and Multi-Purpose Project Portfolios on Hydropower Planning Support Tool User Manual. Vientiane, Lao PDR: Mekong River Commission Secretariat, November 2015. http://dx.doi.org/10.52107/mrc.ajg826.

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The Guidelines propose a portfolio planning process with associated tools for valuation and evaluation of hydropower and multipurpose dam project portfolios. The objective is to assist the Member Countries in their basin planning and energy/hydropower planning frameworks.
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Guidelines for the Evaluation of Hydropower and Multi-Purpose Project Portfolios: Final. Vientiane, Lao PDR: Mekong River Commission Secretariat, November 2015. http://dx.doi.org/10.52107/mrc.ajg81u.

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The Guidelines propose a portfolio planning process with associated tools for valuation and evaluation of hydropower and multipurpose dam project portfolios. The objective is to assist the Member Countries in their basin planning and energy/hydropower planning frameworks.
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Guidelines for the Evaluation of Hydropower and Multi-Purpose Project Portfolios: Economics Practice Guide (Annex 1). Vientiane, Lao PDR: Mekong River Commission Secretariat, November 2015. http://dx.doi.org/10.52107/mrc.ajg81x.

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The Guidelines propose a portfolio planning process with associated tools for valuation and evaluation of hydropower and multipurpose dam project portfolios. The objective is to assist the Member Countries in their basin planning and energy/hydropower planning frameworks.
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Guidelines for the Evaluation of Hydropower and Multi-Purpose Project Portfolios on Non-Monetised Social and Environmental Indicators. Vientiane, Lao PDR: Mekong River Commission Secretariat, November 2015. http://dx.doi.org/10.52107/mrc.ajg821.

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The Guidelines propose a portfolio planning process with associated tools for valuation and evaluation of hydropower and multipurpose dam project portfolios. The objective is to assist the Member Countries in their basin planning and energy/hydropower planning frameworks.
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