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Fruit fly Optimization Algorithm (FOA) is a kind of relatively new swarm intelligence optimization algorithm with strong performance. In this paper a kind of FOA based on dynamic population and direction correct (DPDC-FOA) is proposed on the question of premature convergence. By changing the fruit fly group's search range, number of individuals and group position selection strategy during the movement...
To resolve the conflict between convergence speed and diversity in Bat Algorithm (BA), we propose a novel improved BA algorithm called local enhanced catfish bat algorithm (LECBA). In LECBA, some inferior bats of initial population are reserved and each bat's historical worst position is updated. While population has been trapped into a local optimum, the initial inferior bats' positions and current...
In Evolutionary Multi-objective Optimization many solutions have to be evaluated to provide the decision maker with a diverse choice of solutions along the Pareto-front, in particular for high-dimensional optimization problems. In Simulation-based Optimization the modeled systems are complex and require long simulation times. In addition the evaluated systems are often stochastic and reliable quality...
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