Singh / Ray / Knowles Evolutionary Multi-Criterion Optimization

13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4–7, 2025, Proceedings, Part I
Erscheinungsjahr 2025
ISBN: 978-981-963506-1
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 320 Seiten

Reihe: Lecture Notes in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Singh, Hemant

Ray, Tapabrata

Knowles, Joshua

Li, Xiaodong

Branke, Juergen

Wang, Bing

Oyama, Akira

Inhaltsverzeichnis

.- 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.