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A Multi-Objective Optimization Approach Based on an Enhanced Particle Swarm Optimization Algorithm With Evolutionary Game Theory
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Convergence proof of an enhanced Particle Swarm Optimisation method integrated with Evolutionary Game Theory
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A competitive mechanism based multi-objective particle swarm optimizer with fast convergence
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Multi-objective ecological operation of cascade reservoirs based on MGCL-PSO algorithm
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A fast and elitist multiobjective genetic algorithm: NSGA-II
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A Hybrid Multiobjective Particle Swarm Optimization Algorithm Based on R2 Indicator
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On Balancing Neighborhood and Global Replacement Strategies in MOEA/D
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MOPSOhv: A new hypervolume-based multi-objective particle swarm optimizer
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R2-MOPSO: A multi-objective particle swarm optimizer based on R2-indicator and decomposition
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A decomposition based multiobjective evolutionary algorithm with semi-supervised classification
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A new optimizer using particle swarm theory
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On the Norm of Dominant Difference for Many-Objective Particle Swarm Optimization
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Handling multiple objectives with particle swarm optimization
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Self-Organizing Hierarchical Particle Swarm Optimizer With Time-Varying Acceleration Coefficients
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Multi-Objective Optimization Model of Source–Load–Storage Synergetic Dispatch for a Building Energy Management System Based on TOU Price Demand Response
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R2 -Based Multi/Many-Objective Particle Swarm Optimization
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Genetic Algorithm-Based Particle Swarm Optimization Approach to Reschedule High-Speed Railway Timetables: A Case Study in China
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A Multiobjective Particle Swarm Optimization Algorithm Based on Grid Technique and Multistrategy
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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