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In this paper, a novel improved multiobjective particle swarm optimization (IMOPSO) is proposed for solving the optimal reactive power dispatch (ORPD) problem with multiple and competing objectives. In order to improve the global search capability and the nondominated solutions diversity, time variant parameters, mutation operator, and dynamic crowding distance are incorporated into the MOPSO algorithm...
When solving complex function optimization problem, Differential evolution(DE) algorithms may suffer from low convergence rate. In this paper, we propose an improved differential evolution algorithm named n-IDE. Our algorithm uses Gaussian sequence to dynamically generate zoom factors and applies an improved hybrid mutation strategy to individuals in order to improve the overall performance. We compare...
This paper introduces a hybrid algorithm combining discrete harmony search (DHS) and iterated local search (ILS) for solving the multi-objective resource allocation problem (RAP). Two objectives are considered simultaneously, i.e. minimization of the overall cost and overall efficiency. The harmony search algorithm is used to conduct the global exploration task, while the iterated local search performs...
There is a huge energy-saving space in sports lighting area, sports lighting designers have taken plenty of measures to save energy, but using the intelligent optimization algorithms to optimize the sports lighting's light environment for energy-saving are rarely studied in domestic. In this paper we take advantage of the evolutionary parallel search abilities of genetic algorithms to find the appropriate...
This paper analyses and studies genetic algorithm and classical clustering algorithms, and then the demand analysis and design of the personnel management system of Shenyang Administration College. The adaptive crossover probability and adaptive mutation probability are proposed, which consider the influence of every generation to algorithm and the effect of different individual fitness in every generation...
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