Multi-objective Optimization of Engineering Design Problems Through Pareto-Based Bat Algorithm

DOI10.1007/978-981-15-5097-3_2zbMath1459.90195OpenAlexW3037748092MaRDI QIDQ5150783

Serdar Carbas, Deniz Ustun, Abdurrahim Toktas

Publication date: 15 February 2021

Published in: Springer Tracts in Nature-Inspired Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-981-15-5097-3_2

zbMATH Keywords

multi-objective optimizationPareto optimalityfour-bar trussbat algorithmoptimum engineering designmulti-layer radar absorberwelded steel beam

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29)

Related Items (1)

Maximal entanglement-assisted quantum error correction codes from the skew group ring \(\mathbb{F}_4\rtimes_\varphi G\) by a heuristic search scheme

Uses Software

• WCA

Cites Work

• Unnamed Item
• Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: A survey of the state-of-the-art
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• A New Metaheuristic Bat-Inspired Algorithm
• Nonlinear goal programming using multi-objective genetic algorithms
• Metaheuristics for Hard Optimization
• Handbook of metaheuristics
• Evolutionary algorithms for single and multicriteria design optimization

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