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Optimization in noisy environments is regard as a favorite application domains of genetic algorithms. Different methods for reducing the influence of noise are presented and discussed. A new fitness evaluation method is proposed that reevaluates all survival individuals each generation. Compared with re-sampling and population sizing, the new evaluation approach shows higher probability of searching...
A major source of inefficiency in power grids is the underutilization of generation capacity. This is mainly because load demand during peak hours is much larger than that during off-peak hours. Moreover, extra generation capacity is needed to maintain a security margin above peak load demand. As load demand keeps increasing and two-way communications are enabled by smart meters (SMs), demand response...
This paper first builds a mathematical model for the mission assignment problem (MAP) of cooperative multiple uninhabited combat aerial vehicles (UCAVs). To address challenges posed by the specific MAP problem, we propose a new immune particle swarm optimization (NIPSO) approach through incorporating immunity memory, diversity clone, and immune selection in artificial immune algorithm into standard...
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