This paper investigates the application of TABU search methodology in global optimization. A general multilevel TABU search algorithm is proposed. The algorithm is applied to the problem of finding constrained global minima of a piecewise smooth function of the form β’ (x) --max{~l(X) .... , ~om(x)}
Tabu Search applied to global optimization
β Scribed by Rachid Chelouah; Patrick Siarry
- Book ID
- 108445592
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 253 KB
- Volume
- 123
- Category
- Article
- ISSN
- 0377-2217
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Optimum engineering design problems are usually formulated as non-convex optimization problems of continuous variables. Because of the absence of convexity structure, they can have multiple minima, and global optimization becomes difficult. Traditional methods of optimization, such as penalty method
## Abstract Heuristic methods, such as tabu search, are efficient for global optimizations. Most studies, however, have focused on constraintβfree optimizations. Penalty functions are commonly used to deal with constraints for global optimization algorithms in dealing with constraints. This is some