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In this paper, a new hybrid simulated annealing algorithm for constrained global
optimization is proposed. We have developed a stochastic algorithm called ASAPSPSA that
uses Adaptive Simulated Annealing algorithm (ASA). ASA is a series of modifications to the
basic simulated annealing algorithm (SA) that gives the region containing the global
solution of an objective function. In addition, Simultaneous Perturbation Stochastic
Approximation (SPSA)...
In this paper we present a new hybrid method, called SASP method. We propose the
hybridization of two methods, the simulated annealing (SA), which belong to the class of
global optimization based on the principles of thermodynamics, and the descent method were
we estimate the gradient using the simultaneous perturbation. This hybrid method gives
better results. We use the Normal Boundary Intersection approach (NBI) based on the SASP
method to solve...
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