Evolutionary Algorithms Applied to Multi-Objective Aerodynamic Shape Optimization

DOI10.1007/978-3-642-20859-1_10zbMath1218.90004OpenAlexW105903263MaRDI QIDQ3020446

Alfredo Arias-Montaño, Carlos A. Coello Coello, Efrén Mezura-Montes

Publication date: 4 August 2011

Published in: Computational Optimization, Methods and Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-20859-1_10

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59) Computational methods for problems pertaining to operations research and mathematical programming (90-08)

Related Items (4)

Multi-objective feasibility enhanced particle swarm optimization ⋮ A practical approach to optimization ⋮ Multi-Objective Evolutionary Algorithms: Past, Present, and Future ⋮ Game theory based evolutionary algorithms: a review with Nash applications in structural engineering optimization problems

Uses Software

• SMS-EMOA

Cites Work

• Unnamed Item
• Robust design optimisation using multi-objective evolutionary algorithms
• Differential evolution. A practical approach to global optimization. With CD-ROM.
• Knowledge incorporation in evolutionary computation
• A new polynomial-time algorithm for linear programming
• SMS-EMOA: multiobjective selection based on dominated hypervolume
• Aerodynamic optimization via multi-objective micro-genetic algorithm with range adaptation, knowledge-based reinitialization, crowding and \(\varepsilon \)-dominance
• Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: A survey of the state-of-the-art

This page was built for publication: Evolutionary Algorithms Applied to Multi-Objective Aerodynamic Shape Optimization