Suchergebnisse - "Many-objective evolutionary optimization algorithm"

IGD Indicator-Based Evolutionary Algorithm for Many-Objective Optimization Problems von Sun, Yanan, Yen, Gary G., Yi, Zhang

“… Inverted generational distance (IGD) has been widely considered as a reliable performance indicator to concurrently quantify the convergence and diversity of …”
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A New Two-Stage Evolutionary Algorithm for Many-Objective Optimization von Sun, Yanan, Xue, Bing, Zhang, Mengjie, Yen, Gary G.

“… Convergence and diversity are interdependently handled during the evolutionary process by most existing many-objective evolutionary algorithms (MaOEAs). In …”
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Many-Objective Evolutionary Optimization Algorithm based on the Conflict Measurement Grouping Strategy von Zhang, Jianzhong, Shi, Xuhua

“… In order to address the convergence issues faced by traditional multi-objective optimization algorithms as the number of objectives increases, this paper …”
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Many-Objective Evolutionary Optimization Algorithm Based on Single Objective Population Distribution Characteristics von Mao, Huiting, Shi, Xuhua, Zhang, Bin

“… The objective based decomposition algorithm NSGA-III, which incorporates the Pareto dominance relation, shows great potential in solving many-objective …”
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Optimum socio-environmental flows approach for reservoir operation strategy using many-objectives evolutionary optimization algorithm von Al-Jawad, Jafar Y., Alsaffar, Hassan M., Bertram, Douglas, Kalin, Robert M.

“… Water resource system complexity, high-dimension modelling difficulty and computational efficiency challenges often limit decision makers' strategies to …”
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Evolutionary Optimization based Solution approaches for Many Objective Reliability-Redundancy Allocation Problem von Nath, Rahul, Muhuri, Pranab K.

“… •A novel study of the RRAP as a many objective optimization problem formulating the many objective RRAP (MaORRAP).•A novel solution procedure based on the …”
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Adaptive ∈-ranking on MNK-Landscapes von Aguirre, H., Tanaka, K.

“… This work proposes an adaptive isin-ranking method to enhance Pareto based selection, aiming to develop effective many objective evolutionary optimization algorithm …”
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Multi/Many-Objective Particle Swarm Optimization Algorithm Based on Competition Mechanism von Zhang, Maosheng, Wang, Yi, Chen, Li, Yang, Wusi

“… The recently proposed multiobjective particle swarm optimization algorithm based on competition mechanism algorithm cannot effectively deal with many-objective …”
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Using many-objective trade-off analysis to help dams promote economic development, protect the poor and enhance ecological health von Hurford, Anthony P., Huskova, Ivana, Harou, Julien J.

“… The approach consists of linking a water resources model that can simulate many management policies and track diverse measures of system performance, to a many-objective evolutionary optimisation algorithm …”
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A local search-based many-objective five-element cycle optimization algorithm von Mao, Zhengyan, Liu, Mandan

“… ) could be improved by hybridization with local search strategy. However, when designing many-objective evolutionary optimization algorithms, if the ranking scheme relies …”
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k-Pareto Optimality-Based Sorting with Maximization of Choice and Its Application to Genetic Optimization von Ruppert, Jean, Aleksandrova, Marharyta, Engel, Thomas

“… Deterioration of the searchability of Pareto dominance-based, many-objective evolutionary optimization algorithms is a well-known problem …”
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Ik/I-Pareto Optimality-Based Sorting with Maximization of Choice and Its Application to Genetic Optimization von Ruppert, Jean, Aleksandrova, Marharyta, Engel, Thomas

“… Deterioration of the searchability of Pareto dominance-based, many-objective evolutionary optimization algorithms is a well-known problem …”
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A Many-Objective Evolutionary Algorithm Based on Indicator and Decomposition von Xia, Yizhang, Huang, Jianzun, Li, Xijun, Liu, Yuan, Zheng, Jinhua, Zou, Juan

“… In the field of many-objective evolutionary optimization algorithms (MaOEAs), how to maintain the balance between convergence and diversity has been a significant research problem …”
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A Constrained Multi/Many-Objective Particle Swarm Optimization Algorithm With a Two-Level Balance Scheme von Yang, Wusi, Chen, Li, Li, Yanyan, Zhang, Jue

“… Constrained multi-objective optimization problems are common in practical engineering and are more difficult to handle than unconstrained problems. In general, …”
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fSDE: efficient evolutionary optimisation for many-objective aero-engine calibration von Liu, Jialin, Zhang, Qingquan, Pei, Jiyuan, Tong, Hao, Feng, Xudong, Wu, Feng

“… A fast many-objective evolutionary optimisation algorithm with shift-based density estimation, called fSDE, is designed to search for parameters with an acceptable performance accuracy and improve …”
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Adaptive ε-Ranking on many-objective problems von Aguirre, Hernán, Tanaka, Kiyoshi

“… This work proposes Adaptive ε-Ranking to enhance Pareto based selection, aiming to develop effective many -objective evolutionary optimization algorithms. ε …”
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