Publication | Closed Access
Taboo Search: An Approach to the Multiple Minima Problem
416
Citations
8
References
1995
Year
Mathematical ProgrammingNumerical AnalysisLarge-scale Global OptimizationEngineeringComputational ComplexityUnconstrained OptimizationOperations ResearchInformation RetrievalMultiple Minima ProblemNonlinear ProgrammingSystems EngineeringDerivative-free OptimizationCombinatorial OptimizationApproximation TheoryContinuous OptimizationComputer EngineeringInverse ProblemsComputer ScienceVariable Neighborhood SearchLocal MinimaIterated Local SearchTaboo Search
Described here is a method, based on Glover's taboo search for discrete functions, of solving the multiple minima problem for continuous functions. As demonstrated by model calculations, the algorithm avoids entrapment in local minima and continues the search to give a near-optimal final solution. Unlike other methods of global optimization, this procedure is generally applicable, easy to implement, derivative-free, and conceptually simple.
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