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Searching for authors named "Khaled Rasheed" – sorted by Relevance.

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  • An Adaptive Penalty Approach for Constrained Genetic-Algorithm Optimization  
  • by Khaled Rasheed — 1998 — Proceedings of the Third Annual Genetic Programming Conference
  • …In this paper we describe a new adaptive penalty approach for handling constraints in genetic algorithm optimization problems. The idea is to start with a relatively small penalty coefficient and then increase it or decrease it on demand as the optimization progresses. Empirical results in several e…
  • Cited by 5 (2 self)Add To MetaCart
  • Adaptation of Genetic Algorithms for Engineering Design Optimization  
  • by Khaled Rasheed, Andrew Gelsey — 1996 — In Fourth International Conference on Artificial Intelligence in Design '96: Evolutionary Systems in Design Workshop
  • …Genetic algorithms have been extensively used in different domains as a means of doing global optimization in a simple yet reliable manner. However, in some realistic engineering design optimization domains it was observed that a simple classical implementation of the GA based on binary encoding and…
  • Cited by 2 (2 self)Add To MetaCart
  • Guided Crossover: A New Operator for Genetic Algorithm Based Optimization  
  • by Khaled Rasheed, Haym Hirsh — 1997 — In Proceedings of the Congress on Evolutionary Computation
  • …Genetic algorithms (GAs) have been extensively used in different domains as a means of doing global optimization in a simple yet reliable manner. They have a much better chance of getting to global optima than gradient based methods which usually converge to local sub optima. However, GAs have a ten…
  • Cited by 3 (2 self)Add To MetaCart
  • Using Case-Based Learning to Improve Genetic-Algorithm-Based Design Optimization  
  • by Khaled Rasheed, Haym Hirsh — In Proceedings of the Seventh International Conference on Genetic Algorithms
  • …In this paper we describe a method for improving genetic-algorithm-based optimization using case-based learning. The idea is to utilize the sequence of points explored during a search to guide further exploration. The proposed method is particularly suitable for continuous spaces with expensive eval…
  • Cited by 6 (3 self)Add To MetaCart
  • Learning to be Selective in Genetic-Algorithm-Based Design Optimization  
  • by Khaled Rasheed, Haym Hirsh — 1999 — ARTIFICIAL INTELLIGENCE IN ENGINEERING, DESIGN, ANALYSIS AND MANUFACTURING
  • …In this paper we describe a method for improving genetic-algorithm-based optimization using search control. The idea is to utilize the sequence of points explored during a search to guide further exploration. The proposed method is particularly suitable for continuous spaces with expensive evaluatio…
  • Cited by 10 (6 self)Add To MetaCart
  • Three Dimensional Optimization of Supersonic Inlets  
  • by Gérald Carrier, Doyle Knight, Christophe Bourdeau, Christophe Bourdeau, Khaled Rasheed, Khaled Rasheed — 1999
  • …This paper presents the implementation of these new design techniques and their application to a Mach 3 inlet case. The significant improvements obtained using two different optimizers are presented and compared. The results of these optimizations have been verified using a full Reynolds Averaged Na…
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  • Effect of Global Parallelism on a Steady State GA  
  • by Brian D. Davison, Khaled Rasheed — 1999
  • …In this paper we investigate the effect of global parallelism using a master slave approach, on the behavior of a steady state genetic algorithm for design optimization. 1 Introduction The abundance of powerful workstations at present makes parallelization an obvious enhancement to many optimiz…
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