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To improve the calculation cost and the convergence to optimal solutions for multi-peak optimization problems with multiple dimensions, we propose a new evolutionary algorithm, which is an Adaptive plan system with genetic algorithm (APGA). This is an approach that combines the global search ability of a GA and an Adaptive Plan with excellent local search ability. The APGA differs from GAs in how...
Ant colony algorithm (ACO) is very suitable for solving the optimization problem of discrete function. But its discrete nature restricts the application for continuous domains. In this paper, an improved ant colony optimization is proposed, which is based on the idea of entity. It is a stochastic search algorithm, and doesn't need continuous evaluation of derivatives for the object function. In the...
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