Parallel Global Optimization Algorithms and Evaluation of the Efficiency of Parallelism
Part of the Nonconvex Optimization and Its Applications book series (NOIA, volume 45)
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The general global optimization problem of finding a global minimizer x* and the global minimum φ(x*) of the multiextremal function φ(x) defined over a domain M, i.e.,, arises in different applications and numerical methods are used to find ε-optimal solutions to this problem.
KeywordsLimit Point Parallel Algorithm Parallel Method Interval Number Global Optimization Problem
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© Springer Science+Business Media Dordrecht 2000