On Utilizing Infeasibility in Multiobjective Evolutionary Algorithms

DOI10.1007/978-3-540-85646-7_11zbMath1176.90540OpenAlexW1615807MaRDI QIDQ3649599

Thomas Hanne

Publication date: 4 December 2009

Published in: Multiobjective Programming and Goal Programming (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-540-85646-7_11

zbMATH Keywords

constrained optimizationmultiobjective optimizationevolutionary algorithmsfeasibilityefficient set

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29)

Related Items (1)

Using intermediate infeasible solutions to approach vehicle routing problems with precedence and loading constraints

Cites Work

• A multiobjective evolutionary algorithm for approximating the efficient set
• Theory of multiobjective optimization
• On efficient sets in vector maximum problems - A brief survey
• On the convergence of multiobjective evolutionary algorithms
• A multiobjective evolutionary algorithm for scheduling and inspection planning in software development projects
• Global multiobjective optimization using evolutionary algorithms
• Evolutionary Multi-Criterion Optimization
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