scientific article; zbMATH DE number 1100795

zbMath0890.90161MaRDI QIDQ4370805

P. D. Surry, Nicholas J. Radcliffe

Publication date: 16 July 1998

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

constrained optimizationpenalty functionevolutionary algorithmsmulti-objective genetic algorithm

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (10)

Using multi-objective evolutionary algorithms for single-objective constrained and unconstrained optimization ⋮ Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: A survey of the state-of-the-art ⋮ Constrained optimization using multiple objective programming ⋮ Constrained particle swarm optimization using a bi-objective formulation ⋮ Using multi-objective evolutionary algorithms for single-objective optimization ⋮ Handling equality constraints in evolutionary optimization ⋮ An improved non-dominated sorting genetic algorithm-II (INSGA-II) applied to the design of DNA codewords ⋮ A comparison of genetic and conventional methods for the solution of integer goal programmes ⋮ MAP-Elites for Constrained Optimization ⋮ Minimum penalty for constrained evolutionary optimization

Uses Software

• Genocop

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