An ideal tri-population approach for unconstrained optimization and applications

DOI10.1016/J.AMC.2015.01.076zbMath1338.90469OpenAlexW2018329535MaRDI QIDQ299700

Kedar Nath Das, Raghav Prasad Parouha

Publication date: 22 June 2016

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

Full work available at URL: https://doi.org/10.1016/j.amc.2015.01.076

zbMATH Keywords

elitismnon redundant searchunconstrained benchmark functions

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59)

Cites Work

• Unnamed Item
• Unnamed Item
• Multi-operator based evolutionary algorithms for solving constrained optimization problems
• Swarm-based translation-invariant morphological prediction method for financial time series forecasting
• Particle swarm optimization: Hybridization perspectives and experimental illustrations
• A hybrid differential evolution algorithm integrated with an ant system and its application
• A multi-swarm PSO using charged particles in a partitioned search space for continuous optimization
• A novel hybrid differential evolution and particle swarm optimization algorithm for unconstrained optimization
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• Hybrid differential evolution and particle swarm optimization for optimal well placement
• Bare bones differential evolution
• Bankruptcy prediction in firms with statistical and intelligent techniques and a comparison of evolutionary computation approaches
• An improved (\(\mu+\lambda\))-constrained differential evolution for constrained optimization

This page was built for publication: An ideal tri-population approach for unconstrained optimization and applications