Titlebook: Computational Intelligence and Bioinformatics; International Confer De-Shuang Huang,Kang Li,George William Irwin Conference proceedings 200

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Ambika Gopal Raj,Lauren G. McClanahanBPSO approach to deal with constrains. Numerical experiments show that the proposed algorithm outperforms both the existing exact approaches and recent state-of-the-art search heuristics on most of the hard knapsack problems.

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A Constrained Ant Colony Algorithm for Image Registration guiding the future exploration of the graph. The algorithm supports the parallel computation and facilitates quick convergence to the optimal solution. The performance of the proposed method as compared to those of the genetic-based approaches is very promising.

疲劳

A Hybrid Particle Swarm Optimization for Binary CSPsimprove the activities of particles. Tabu list is used to avoid cycling in the global best particle. We experiment with random constraint satisfaction problem instances based on phase transition theory. Experimental results indicate that the hybrid algorithm has advantages on the search capability and the iterative number.

Hdl348

Adaptive Particle Swarm Optimization with Feedback Control of Diversity methods for PSO. The relative experimental results show PSO-DCIW is a robust global optimization method for the complex multimodal functions, which can improve the performance of the standard PSO and alleviate the premature convergence validly.

放肆的你

Solving the Hard Knapsack Problems with a Binary Particle Swarm ApproachBPSO approach to deal with constrains. Numerical experiments show that the proposed algorithm outperforms both the existing exact approaches and recent state-of-the-art search heuristics on most of the hard knapsack problems.

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stratum-corneum

https://doi.org/10.1007/978-3-031-62003-4y selection and the roulette wheel selection. Four parameters are used, which are two control parameters of transition probability . and., pheromone decrease factor ., and proportion factor .. in building methods. By simulated result analysis, the parameter selection rule will be given.

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Study of Parametric Relation in Ant Colony Optimization Approach to Traveling Salesman Problemy selection and the roulette wheel selection. Four parameters are used, which are two control parameters of transition probability . and., pheromone decrease factor ., and proportion factor .. in building methods. By simulated result analysis, the parameter selection rule will be given.