Multi-objectivization relaxes multi-funnel structures in single-objective NK-landscapes

DOI10.1007/978-3-031-30035-6_13OpenAlexW4361852285MaRDI QIDQ6149104

Hiroyuki Sato, Keiki Takadama, Shoichiro Tanaka

Publication date: 12 January 2024

Published in: Evolutionary Computation in Combinatorial Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-031-30035-6_13

zbMATH Keywords

combinatorial optimizationlocal searchmulti-objectivizationlandscape analysislocal optima networks

Mathematics Subject Classification ID

Evolutionary algorithms, genetic algorithms (computational aspects) (68W50) Approximation methods and heuristics in mathematical programming (90C59) Combinatorial optimization (90C27)

Cites Work

• Multi-objectivization, fitness landscape transformation and search performance: a case of study on the HP model for protein structure prediction
• Helper-objectives: Using multi-objective evolutionary algorithms for single-objective optimisation
• How Perturbation Strength Shapes the Global Structure of TSP Fitness Landscapes

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