A Novel Co-Evolutionary Multi-Objective Optimization Algorithm by ZHU Haifeng

“…Through simulation experiments, the results showed that the proposed algorithm improved convergence and distribution indicators by at least 84% and 76% respectively compared to NSGA-II, a classic multi-objective evolutionary algorithm, underscoring its superior search performance.…”
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Multi-objective multi-workflow task offloading based on evolutionary optimization by Teliekebieke Misha, Lisheng Sun, Zheng-yi Chai

“…We propose an improved decomposition-based multi-objective evolutionary algorithm (MOEA/D) incorporating two novel strategies: (1) population initialization based on prior knowledge, and (2) a population distribution-based weight adjustment scheme. …”
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Stable matching-enhanced MOEA/D for solving multi-objective optimal power flow problems by Ebrahim Akbari, Amin Khodabakhshian, Abolfazl Rahimnejad, Stephen Andrew Gadsden

“…This paper addresses these challenges by applying a multi-objective evolutionary algorithm based on decomposition (MOEA/D) enhanced with stable matching theory. …”
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Exploring “Many Objective Robust Decision Making” for managing uncertainty in climate policy analysis for the transport sector by Albin Engholm, Ida Kristoffersson

“…Candidate policies are generated using a multi-objective evolutionary algorithm. This algorithm searches for policies that meet the climate target while trying to minimize adverse impacts on driving-based accessibility and limiting the use of biofuels and electricity for a reference scenario for 2040. …”
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A multiobjective evolutionary algorithm incorporating neighborhood detection for the vehicle routing problem with soft time windows by Hao Jiang, Zhiwei Zhang, Chao Wang, Xiaoshu Xiang

“…Subsequently, we proposed a Multi-Objective Evolutionary Algorithm with Neighborhood Detection (MOEAND), which utilizes this customized neighborhood to efficiently solve VRPSTWs. …”
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Multi-objective optimization of EMS facilities using multi-source data: A case study in Dangtu, China by Jinze Li, Xiao Wang, Qiyan Zhang, Peng Tang

“…This framework uses corroborative multi-source data to analyze current EMS facilities and suggests improvements through preservation, expansion, and new facility introduction, carefully considering construction costs, resident usage efficiency, and access equity. A multi-objective evolutionary algorithm calculates Pareto optimal solutions for site selection, allowing for a balanced consideration of conflicting EMS siting objectives. …”
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Multi-objective optimization of daylighting performance and solar radiation for building geometry using a hybrid evolutionary algorithm by Shaoyang Lou, Xiaojun Luo, Zhonggou Chen, Zhiji Gao, Ruida Wang, Linjin Feng, Guoyi Zhang, Yanfei Zhang, Ye Zhao, Bei Li

“…Parametric modeling based on the additive and subtractive design generation algorithms included in EvoMass on the Grasshopper platform, with the goal of minimizing the solar radiation variation between summer and winter on building envelopes and maximizing useful daylight illuminance (UDI). A multi-objective evolutionary algorithm named Steady-State Island Evolutionary Algorithm (SSIEA) was applied to optimize the building geometry, ultimately yielding the Pareto front optimal solution. …”
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Multi-Objective Optimization of UAV Relay Deployment for Air-to-Ground Communications via Distributed Collaborative Beamforming by Yang Yang, Xin Feng, Jing Zhang, Hongwei Yang, Tingting Zheng

“…We propose an enhanced multi-objective evolutionary algorithm, BSINSGA-II, which integrates beetle swarm optimization (BSO) into the non-dominated sorting genetic algorithm II (NSGA-II). …”
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Multi-objective optimization of sustainable cement-zeolite improved sand based on life cycle assessment and artificial intelligence [version 1; peer review: 1 approved, 2 approved... by Hossein MolaAbasi, Satinder Kaur Brar, Amin Tanhadoust, Sepideh Nasrollahpour, Omolbanin Ataee, Moncef L. Nehdi

“…This study proposes a multi-objective optimization approach using back-propagation neural network (BPNN) to predict the mechanical strength, along with an adaptive geometry estimation-based multi-objective evolutionary algorithm (AGE-MOEA) to identify the best parameters for cement-zeolite-improved sand, filling a long-lasting research gap. …”
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An Inverse Modeling Multi-Objective Optimization Technique Based on Incremental Learning and Fuzzy Clustering by Gadallah Mohamed Abd Elaziz, Yasmine Abouelseoud, Sara H. Kamel

“…The use of inverse modeling-based crossover operators in multi-objective evolutionary algorithms (MOEAs) has recently received much attention. …”
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