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In order to alleviate Linearly Decreasing Weight of Particle Swarm Optimization (LDW-PSO) algorithm falling into the local optimum, Particle Swarm Optimization combined with Ant Colony Optimization (PSO-ACO) algorithm is designed. A pseudo-random-proportional rule is introduced to the determination of the swarm optimum value in PSO for improving the swarm diversity. The calculation expression of particle...
Elites have been widely used in many evolutionary algorithms. However, only elites in current generation are utilized to guide the learning/updating of particles/individuals in existing algorithms. Usually, elites in different generations are different and elites in the past generations may contain experienced knowledge and thus may be helpful for guiding particles/individuals to promising areas....
Large scale optimization has become an important and challenging area in evolutionary computation. To solve this kind of problems efficiently, this paper proposes a multiple parents guided differential evolution (MPGDE) algorithm. Instead of using only one parent to guide each individual in traditional DE variants, multiple top ranked parents are utilized to direct each individual to search the space...
The computational method of unconstrained optimization problem is an important research topic in the field of numerical computation. It is of great significance to solve the problem of unconstrained optimization. There are many ways that are applied to settle these questions, so we need to choose a method which owns much faster and less complex trait. Furthermore, in order to solve this rubs, this...
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