Pareto adaptive penalty-based boundary intersection method for multi-objective optimization

DOI10.1016/j.ins.2017.05.012zbMath1435.90158OpenAlexW2619137665MaRDI QIDQ778403

Tao Zhang, Yabing Zha, Rui Wang, Mengjun Ming

Publication date: 2 July 2020

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2017.05.012

zbMATH Keywords

multi-objective evolutionary algorithmshybrid renewable energy systemPareto adaptive PBI methodscalarizing method

Mathematics Subject Classification ID

Evolutionary algorithms, genetic algorithms (computational aspects) (68W50) Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (3)

An adaptive penalty-based boundary intersection method for many-objective optimization problem ⋮ Multi-dimensional tree guided efficient global association for decomposition-based evolutionary many-objective optimization ⋮ Adaptive strategies based on differential evolutionary algorithm for many-objective optimization

Uses Software

• NBI
• MOEA/D

Cites Work

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• Preference-inspired co-evolutionary algorithms using weight vectors
• Solving a multi-objective dynamic stochastic districting and routing problem with a co-evolutionary algorithm
• A multi-objective co-evolutionary algorithm for energy-efficient scheduling on a green data center
• A multi-population cooperative coevolutionary algorithm for multi-objective capacitated arc routing problem
• Methods for multi-objective optimization: an analysis
• A co-evolutionary multi-objective optimization algorithm based on direction vectors
• Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems

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