WBMOAIS: A novel artificial immune system for multiobjective optimization

DOI10.1016/j.cor.2009.03.009zbMath1171.90518OpenAlexW2006860232MaRDI QIDQ733520

Jiaquan Gao, Jun Wang

Publication date: 16 October 2009

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2009.03.009

zbMATH Keywords

evolutionary algorithmartificial immune systemmultiobjectivesimilar individuals

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (9)

A quantum-inspired artificial immune system for the multiobjective 0-1 knapsack problem ⋮ A novel micro-population immune multiobjective optimization algorithm ⋮ A novel hybrid multi-objective immune algorithm with adaptive differential evolution ⋮ Multiobjective simulation-based optimization based on artificial immune systems for a distribution center ⋮ A united search particle swarm optimization algorithm for multiobjective scheduling problem ⋮ A hybrid quantum-inspired immune algorithm for multiobjective optimization ⋮ Tracking Extrema in Dynamic Environments Using a Learning Automata-Based Immune Algorithm ⋮ An adaptive hybrid evolutionary immune multi-objective algorithm based on uniform distribution selection ⋮ Research on the vehicle routing problem with interval demands

Uses Software

• WBMOAIS

Cites Work

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• Hybridization of a multi-objective genetic algorithm, a neural network and a classical optimizer for a complex design problem in fluid dynamics
• Multicriteria optimization using a genetic algorithm for determining a Pareto set
• Evolutionary Multi-Criterion Optimization

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