Water Resources Research Report - Western Engineering ...

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OPTIMIZATION USING DIFFERENTIAL EVOLUTION By VASAN ARUNACHALAM Facility for Intelligent Decision Support Department of Civil and Environmental <strong>Engineering</strong> The University Of <strong>Western</strong> Ontario, London, Ontario, Canada JULY 2008
ABSTRACT The book explains in detail the working of Differential Evolution optimization algorithm. It also provides documentation for the use of Differential Evolution computer program to solve user-defined optimization problems. The computer program is written in C language for Windows environment. The book also demonstrates how to modify the program using an example optimization problem. This source code is distributed for academic purposes only. It has no warranty implied or given, and the author assumes no liability for damage resulting from its use or misuse. The author can be contacted for any comments by email at vasan.arunachalam@gmail.com. i
Page 1: THE UNIVERSITY OF WESTERN ONTARIO D
Page 5 and 6: CHAPTER 1 INTRODUCTION Optimization
Page 7 and 8: WORKING OF THE DE ALGORITHM CHAPTER
Page 9 and 10: one parent more often than it does
Page 11 and 12: inomial crossover, the crossover is
Page 13 and 14: Table 4. Generation of the trial ve
Page 15 and 16: To enter the constraints, the inequ
Page 17 and 18: } /*----------------------CODE YOUR
Page 19 and 20: This completes the preparation of i
Page 21 and 22: Strategy 10 : NP = 20 NP = 20 F = 0
Page 23 and 24: CHAPTER 4 CONCLUSION The book expla
Page 25 and 26: APPENDIX A SOURCE CODE OF DE ALGORI
Page 27 and 28: void closeHTML(FILE *fp) { fprintf(
Page 29 and 30: } oTime[strategy-1] = timeTaken; co
Page 31 and 32: xhigh = (double *)malloc(sizeof(dou
Page 33 and 34: } } if(rnd_uni()xhigh[j] || trial[j
Page 35 and 36: } } copyPoint(trial,x1[i],D); j= (i
Page 37 and 38: } /* DO NOT CHANGE ANYTHING ABOVE *
Page 39 and 40: ISSN: (print) 1913-3200; (online) 1
Page 41 and 42: for Intelligent Decision Support, D

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