Injecting problem-dependent knowledge to improve evolutionary optimization search ability

DOI10.1016/j.cam.2015.03.019zbMath1329.90175OpenAlexW2041683490MaRDI QIDQ491043

Idel Montalvo, Joaquín Izquierdo, Enrique Campbell, Rafael Pérez-García

Publication date: 24 August 2015

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2015.03.019

zbMATH Keywords

evolutionary algorithmknowledge-based systemSOMnon-standard optimization problemwater distribution

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59)

Related Items (1)

Editorial: Mathematical modeling and computational methods

Uses Software

• SOM
• EPANET
• Borg
• kohonen

Cites Work

• Unnamed Item
• Optimization by Simulated Annealing
• Multi-objective particle swarm optimization applied to water distribution systems design: an approach with human interaction
• Thermodynamical approach to the travelling salesman problem: An efficient simulation algorithm
• Multi-objective optimization of water supply network rehabilitation with non-dominated sorting genetic algorithm. II
• Particle swarm optimization applied to the design of water supply systems
• Shuffled complex evolution approach for effective and efficient global minimization
• Mathematical models and methods in the water industry
• On the complexities of the design of water distribution networks
• Robust Optimization for Unconstrained Simulation-Based Problems
• Particle Swarm Optimization
• Self-organizing maps.

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