fast evolutionary programming techniques are applied for solution of short-term hydrothermal scheduling problem. evolutionaryprogramming (EP) based algorithms with Gaussian and other mutation techniques have been dev...
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In this paper, we propose an improved evolutionaryprogramming based on single-point mutation, which is named Single-Point Mutation evolutionaryprogramming (SPMEP). The distinctions between SPMEP and the classical ev...
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In this paper, we propose an improved evolutionaryprogramming based on single-point mutation, which is named Single-Point Mutation evolutionaryprogramming (SPMEP). The distinctions between SPMEP and the classical evolutionaryprogramming (EP) are the single-point mutation for each solution in each iteration and the fixed mutation scheme for deviation eta. Simulation results show that SPMEP is obviously superior to the classical EP, fast EP and generalized EP for multimodal and high-dimensional functions. (C) 2004 Elsevier B.V. All rights reserved.
evolutionaryprogramming has emerged as a useful optimization tool for handling nonlinear programming problems. Various modifications to the basic method have been proposed with a view to enhance speed and robustness ...
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evolutionaryprogramming has emerged as a useful optimization tool for handling nonlinear programming problems. Various modifications to the basic method have been proposed with a view to enhance speed and robustness and these have been applied successfully on some benchmark mathematical problems. But few applications have been reported on real-world problems such as economic load dispatch (ELD). The performance of evolutionary programs on ELD problems is examined and presented in this paper in two parts. In Part 1, modifications to the basic technique are proposed, where adaptation is based on scaled cost. In Part II, evolutionary programs are developed with adaptation based on an empirical learning rate. Absolute, as well as relative, performance of the algorithms are investigated on ELD problems of different size and complexity having nonconvex cost curves where conventional gradient-based methods are inapplicable.
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