提出一种新的多目标粒子群优化（MOPSO）算法，根据多目标优化问题（MOP）的特点，将一个进化群体分成若干个子群体，利用非劣支配的概念构造全局最优区域，用以指导整个粒...
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...多目标粒子群优化 [gap=1222]ireless sensor networks; opportunistic routing; energy balance; service quality; multi-objective particle swarm optimization ..
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多目标粒子群优化算法 MOPSO ; multi-objective particle swarm optimization ; Multi-objective particle swarm optimization algorithm
提出一种小生境多目标粒子群优化算法。
This paper describes a niching multi-objective Particle Swarm Optimization(PSO) algorithm.
针对短期负荷预测的特点，提出一种基于多目标粒子群优化算法的短期电力负荷预测法。
Aimed at the characteristics of short-term electrical load forecasting, an algorithm based on multi-objective particle swarm optimization is proposed in the paper.
提出了基于场景的多目标随机规划模型来构建不确定市场需求环境下的能力计划问题模型，并用改进的多目标粒子群优化算法求解。
We formulated scenario based multi-objective stochastic programming model to describe the problem of capacity planning under uncertainty and applied improved Multi-Objective PSO (MOPSO) to solve it.
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