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A general constrained numerical optimization problem (NOP) may be written as follows: where is the objective function and each is a constraint function to be satisfied, and and are constants. Each function can be nonlinear and non-smooth. If there is no constraint (i.e., ), then the problem becomes an unconstrained optimization problem. NOP Instance Implementation
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MAOS-TSP [1] is a multiagent optimization system (MAOS) for solving the Traveling Salesman Problem (TSP). Related Information: Please find other related code and software in our Source Code Library. Basic Description What’s New Directories & Files Command Line & Parameters Output Information References Contact License Information: You can redistribute and/or modify it under the terms
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The dissipative particle swarm optimization (DPSO) is developed according to the self-organization of dissipative structure. The negative entropy is introduced into the particle swarm to construct an opening dissipative system that is far-from-equilibrium so as to driving the evolutionary process towards better fitness. Xiao-Feng Xie, Wen-Jun Zhang, and Zhi-Lian Yang. A dissipative particle swarm optimization.
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