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Differential evolution (DE) is a simple and efficient evolutionary algorithm for global optimization. In distributed differential evolution (DDE), the population is divided into several sub-populations and each sub-population evolves independently for enhancing population diversity as well as algorithmic performance. Sub-populations in DDE share their elite individuals with neighborhood through a...
Nowadays real-time traffic signal control is a crucial issue with potential benefits in the fields of traffic control, environmental pollution, and energy utilization. In the literature, few related studies have been done with dynamic evolutionary algorithms. In this paper, we proposed a strategy using Collaborative Evolutionary-Swarm Optimization (CESO), which is able to track time-varying optimal...
The Steiner tree problem (STP) in graphs is a special but essential case of multiple destination routing (MDR) problems, which focuses on finding a minimal spanning tree (MST) that connecting the source and destinations. It has been proved to be an NP-hard problem. Particle swarm optimization (PSO) is an important swarm intelligent algorithm with fast convergence speed and easy implementation. In...
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