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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...
It is generally acknowledged that the price of real estate are highly complicated and are interrelated with a multitude of factors. It will be advantageous if the parties to a dispute have some insights to some degree. This paper introduces a hybrid genetic algorithm (HGA) approach to instance selection in artificial neural networks (ANNs) for housing price determinants. ANN has preeminent learning...
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...
Focused on the multiple of object and uncertainty of environment for 3PLS to design the customizing logistics facility network, a fuzzy multi-object programming model and solution are studied deeply in this paper, the integration of the forward and reverse logistics demand for 3PLSpsila clients, and multi-commodity, multi-customer and capacitated facility location-allocation problem are taken into...
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...
This paper proposes a new economic load dispatch model that considers cost coefficients with uncertainties and the constraints of ramp rate. The uncertainties are represented by fuzzy numbers, and the model is known as fuzzy dynamic economic load dispatch model (FDELD). A novel hybrid genetic algorithm with quasi-simplex techniques is proposed to handle the FDELD problem. The algorithm creates offspring...
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