Evolutionary Multi-Criterion Optimization
Description
This two-volume set LNCS 15512-15513 constitutes the proceedings of the 13th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2025, held in Canberra, ACT, Australia, in March 2025.
The 38 full papers and 2 extended abstracts presented in this book were carefully reviewed and selected from 63 submissions. The papers are divided into the following topical sections:
Part I : Algorithm design; Benchmarking; Applications.
Part II : Algorithm analysis; Surrogates and machine learning; Multi-criteria decision support.
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Content
.- Algorithm design.
.- Towards an Efficient Innovation Path Seeking Algorithm Using Directed Domination.
.- An MaOEA/Local Search Hybrid Based on a Fast, Stochastic BFGS Using Achievement Scalarizing Search Directions.
.- Selective evaluations for expediting multi-objective bilevel optimization.
.- MOAISDX: A New Multi-objective Artificial Immune System based on Decomposition.
.- PAES-25: Local Search, Archiving and Multi/Many-objective PseudoBoolean Functions.
.- Weights-Guided Random Bit Climber for Binary Many-objective Optimization.
.- Bilevel Optimization-based Decomposition for Solving Single and Multi objective Optimization Problems.
.- A Study on Optimistic & Pessimistic Pareto-fronts in Multi objective Bilevel Optimization via ?-Perturbation.
.- Cumulative Step Size Adaptation for Adaptive SEMO in Integer Space.
.- Adaptive Normal-Boundary Intersection Directions for Evolutionary Many objective Optimization with Complex Pareto Fronts.
.- Encodings for Multi-Objective Free-Form Coverage Path Planning.
.- VBEA: Voting-Based Evolutionary Algorithm for Multi-Objective Planning.
.- Enhancing NSGA-II with a Knee Point for Constrained Multi-objective Optimization.
.- Benchmarking.
.- Single and Multi-Objective Optimization Benchmark Problems Focusing on Human-Powered Aircraft Design.
.- An Extension of the Welded Beam Problem that Includes Multiple Interactng Design Concepts.
.- Extended Results on Analytical Hypervolume Indicator Calculation of Linear and Quadratic Pareto Fronts.
.- MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms using IOH profiler.
.- Applications.
.- Multi-Objective Sequential Decision Making for Holistic Supply Chain Optimization.
.- Interactive evolutionary re optimization for ground fish survey planning.
.- A Multi-Objective Competitive Co-Evolutionary Framework with Progressive Shrinking for Wargame Scenarios.
.- .- Impact of Environmental Changes on Optimized Robotics Collective Motion for Multi-Objective Coverage Tasks.