A hybrid genetic algorithm for a type of nonlinear programming problem

DOI10.1016/S0898-1221(98)00146-1zbMath0941.90068OpenAlexW2083235520MaRDI QIDQ1806589

Jiafu Tang, A. Ip, Dingwei Wang, Richard Ying Kit Fung

Publication date: 7 August 2000

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0898-1221(98)00146-1

zbMATH Keywords

nonlinear programminghybrid genetic algorithmfeasible degreesemifeasible directionweighted gradient direction

Mathematics Subject Classification ID

Nonlinear programming (90C30) Numerical methods based on nonlinear programming (49M37)

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Cites Work

• Genetic algorithms and tabu search: Hybrids for optimization
• An interactive approach based on a genetic algorithm for a type of quadratic programming problems with fuzzy objective and resources
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