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This paper presents two adaptive two-stage fuzzy controllers for traffic signals at isolated intersections. Firstly, a two-stage combination fuzzy controller is designed. For traffic status variables in two-stage controller leading to the inefficiency of traffic states weakening under low traffic flow, the controller introduces 0–1 combination and determines the combination of traffic status variables...
A novel adaptive hybrid biologically-inspired algorithm has been proposed in this paper especially for function optimization problems. Four algorithms were studied in the paper, including classical particle swarm optimization (PSO), genetic algorithm (GA), hybrid particle swarm optimizations and hybrid genetic algorithm. The main idea is to incorporate PSO with GA, which can be achieved by a fuzzy...
The aim of this paper is to deal with the resource-constrained multiple project scheduling problems (rc-mPSP) with fuzzy coefficients, which is well known one of NP-hard problems, by a hybrid genetic algorithm with fuzzy logic controller (flc-hGA). The objective in this paper is to minimize total project time in the project. Because traditional optimization techniques canpsilat cope with the rc-mPSP...
In recent year and with the growth in electricity demand, environmental considerations have become one of the major management concerns. This paper presents an hybrid Genetic Algorithm and Fuzzy Logic rules for solving the economic dispatch problem under constrained emission with multi shunt Flexible AC Transmission Systems (FACTS). The economic dispatch problem is formulated as a nonlinear constrained...
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