Search Results - "many-objective evolutionary optimization algorithm"

IGD Indicator-Based Evolutionary Algorithm for Many-Objective Optimization Problems by 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…”
Get full text

A New Two-Stage Evolutionary Algorithm for Many-Objective Optimization by 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…”
Get full text

Many-Objective Evolutionary Optimization Algorithm based on the Conflict Measurement Grouping Strategy by 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…”
Get full text

Many-Objective Evolutionary Optimization Algorithm Based on Single Objective Population Distribution Characteristics by 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…”
Get full text

Optimum socio-environmental flows approach for reservoir operation strategy using many-objectives evolutionary optimization algorithm by 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…”
Get full text

Evolutionary Optimization based Solution approaches for Many Objective Reliability-Redundancy Allocation Problem by 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…”
Get full text

Adaptive ∈-ranking on MNK-Landscapes by 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…”
Get full text

Multi/Many-Objective Particle Swarm Optimization Algorithm Based on Competition Mechanism by 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…”
Get full text

Using many-objective trade-off analysis to help dams promote economic development, protect the poor and enhance ecological health by 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…”
Get full text

A local search-based many-objective five-element cycle optimization algorithm by 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…”
Get full text

k-Pareto Optimality-Based Sorting with Maximization of Choice and Its Application to Genetic Optimization by Ruppert, Jean, Aleksandrova, Marharyta, Engel, Thomas

“…Deterioration of the searchability of Pareto dominance-based, many-objective evolutionary optimization algorithms is a well-known problem…”
Get full text

Ik/I-Pareto Optimality-Based Sorting with Maximization of Choice and Its Application to Genetic Optimization by Ruppert, Jean, Aleksandrova, Marharyta, Engel, Thomas

“…Deterioration of the searchability of Pareto dominance-based, many-objective evolutionary optimization algorithms is a well-known problem…”
Get full text

A Many-Objective Evolutionary Algorithm Based on Indicator and Decomposition by 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…”
Get full text

A Constrained Multi/Many-Objective Particle Swarm Optimization Algorithm With a Two-Level Balance Scheme by 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,…”
Get full text

fSDE: efficient evolutionary optimisation for many-objective aero-engine calibration by 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…”
Get full text

Adaptive ε-Ranking on many-objective problems by 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…”
Get full text