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4th IEEE International Conference on Applied System Invention (IEEE ICASI)

作者： Othman, Zulkifli Sulaiman, Shahril Irwan Musirin, Ismail Omar, Ahmad Maliki Shaari, Sulaiman Univ Teknol MARA Fac Elect Engn Shah Alam Selangor Malaysia Univ Teknol MARA Fac Appl Sci Shah Alam Selangor Malaysia

ISBN: (纸本)9781538643426

This paper presents a sizing optimization technique for Stand-Alone Photovoltaic (SAPV) system. Three optimization techniques were developed, namely Dolphin Echolocation (DE), Fast evolutionary programming (FEP) and classical evolutionary programming (CEP). These techniques had been incorporated into the sizing process to maximize the Performance Ratio (PR) of the system by determining the optimal PV modules, charge controllers, inverters, and batteries. The results showed that DE outperformed FEP and CEP in producing the highest PR.

关键词： Stand-Alone Photovoltaic Dolphin Echolocation Algorithm Fast evolutionary programming classical evolutionary programming Iterative Sizing Algorithm

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Dolphin Echolocation - Based Sizing Algorithm for Stand-Alone Photovoltaic System

Dolphin Echolocation - Based Sizing Algorithm for Stand-Alon...

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International Conference on Applied System Innovation

作者： Zulkifli Othman Shahril Irwan Sulaiman Ismail Musirin Ahmad Maliki Omar Sulaiman Shaari Faculty of Electrical Engineering Universiti Teknologi MARA Selangor Malaysia Faculty of Applied Sciences Universiti Teknologi MARA Selangor Malaysia

关键词： Stand-Alone Photovoltaic Dolphin Echolocation Algorithm Fast evolutionary programming classical evolutionary programming Iterative Sizing Algorithm

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Are Long Jumps of Cauchy Mutations Effective in Fast evolutionary programming?

Are Long Jumps of Cauchy Mutations Effective in Fast Evoluti...

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2010 IEEE World Congress on Computational Intelligence

作者： Liu, Yong Univ Aizu Sch Comp Sci & Engn Fukushima 9658580 Japan

ISBN: (纸本)9781424481262

It had been discovered that not long jumps but short jumps with large variances among Cauchy mutations had contributed to the better performance of fast evolutionary programming (FEP) than that of classical evolutionary programming (CEP). One strong force to push the effective Cauchy mutations to have the shorter step sizes came from the different behaviors of the the same self-adaptation used in CEP and FEP on optimizing the same test functions from the same initial populations. This paper explored such correlation between the mutation step sizes and self-adaptation, and suggests that it is as necessary to set up an upper bound as to have a lower bound on the strategy parameters in self-adaptation.

关键词： Cauchy mutations classical evolutionary programming evolutionary computation fast evolutionary programming long jumps lower bound self-adaptation

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A single-point mutation evolutionary programming

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INFORMATION PROCESSING LETTERS 2004年第6期90卷 293-299页

作者： Ji, MJ Tang, HW Guo, J Dalian Univ Technol Dept Appl Math Dalian 116024 Peoples R China Dongbei Univ Finance & Econ Dept Quantitat Econ Dalian 116025 Peoples R China

In this paper, we propose an improved evolutionary programming based on single-point mutation, which is named Single-Point Mutation evolutionary programming (SPMEP). The distinctions between SPMEP and the classical evolutionary programming (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.

关键词： single-point mutation classical evolutionary programming fast evolutionary programming generalized evolutionary programming algorithms

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evolutionary programming techniques for economic load dispatch

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IEEE TRANSACTIONS ON evolutionary COMPUTATION 2003年第1期7卷 83-94页

作者： Sinha, N Chakrabarti, R Chattopadhyay, RK Jadavpur Univ Dept Elect Engn Kolkata 700032 W Bengal India

evolutionary programming 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.

关键词： Cauchy mutation classical evolutionary programming economic load dispatch fast evolutionary programming Gaussian mutation self-adaptation

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Fast evolutionary programming techniques for short-term hydrothermal scheduling

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IEEE TRANSACTIONS ON POWER SYSTEMS 2003年第1期18卷 214-220页

作者： Sinha, N Chakrabarti, R Chattopadhyay, PK Jadavpur Univ Dept Elect Engn Kolkata 700032 W Bengal India

Fast evolutionary programming techniques are applied for the solution of a short-term hydrothermal scheduling problem. evolutionary programming (EP)-based algorithms with Gaussian and other mutation techniques have been developed and tested on a multireservoir cascaded hydroelectric system having prohibited operating zones and a thermal unit with valve point loading. Numerical results show that all of the EP algorithms are capable of finding very nearly global solutions within a reasonable time but an EP algorithm with better of Gaussian and Cauchy mutations appears to be the best amongst all EPs in terms of convergence speed, solution time, and minimum cost.

关键词： Cauchy mutation classical evolutionary programming fast evolutionary programming Gaussian mutation hydrothermal scheduling

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Fast evolutionary programming techniques for short-term hydrothermal scheduling

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ELECTRIC POWER SYSTEMS RESEARCH 2003年第2期66卷 97-103页

作者： Sinha, N Chakrabarti, R Chattopadhyay, PK Univ Jadavpur Dept Elect Engn Kolkata India

This paper presents fast evolutionary programming (FEP) techniques for solution of short-term hydro thermal scheduling problems. evolutionary programming (EP) based algorithms with Gaussian mutation and other fast mutation techniques have been developed for hydrothermal scheduling (HS) problems. Numerical results for a test case show that all the EP-algorithms are capable of finding very nearly global solutions within a reasonable time but EP-algorithm with better of Gaussian and Cauchy mutations was the best amongst all EPs in terms of convergence rate, solution time and success rate. (C) 2003 Published by Elsevier Science B.V.

关键词： classical evolutionary programming Gaussian mutation Cauchy mutation fast evolutionary programming hydrothermal scheduling

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Fast evolutionary programming Techniques for Short-Term Hydrothermal Scheduling

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IEEE Power Engineering Review 2002年第11期22卷 60-60页

作者： Sinha, N. Chakrabarti, R. Chattopadhyay, P.K. Jadavpur University India

Fast evolutionary programming techniques are applied for solution of short-term hydrothermal scheduling problem. evolutionary programming (EP) based algorithms with Gaussian and other mutation techniques have been developed and tested on a multireservoir cascaded hydroelectric system having prohibited operating zones and a thermal unit with valve point loading. Numerical results show that all EP algorithms are capable of finding very nearly global solutions within a reasonable time, but an EP-algorithm with the better of the Gaussian and Cauchy mutations appears to be the best among all EPs in terms of convergence speed, solution time, and cost. © 2002, IEEE. All rights reserved.

关键词： Cauchy mutation classical evolutionary programming fast evolutionary programming Gaussian mutation hydrothermal scheduling

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