Research ArticleOpen accessIn the abstractMulti-Objective Evolutionary Optimization of Sandwich Structures: An Evaluation by Elitist Non-dominated Sorting Evolution StrategyIlyani Akmar, A.B, O. Kramer, T. RabczukIn this study, an application of evolutionary multi-objective optimization algorithms on the optimization of sandwich structures is presented. The solution strategy is known as Elitist Non-Dominated Sorting Evolution Strategy (ENSES) wherein Evolution Strategies (ES) as Evolutionary Algorithm (EA) in the elitist Non-dominated Sorting Genetic algorithm (NSGA-II) procedure. Evolutionary algorithm seems a compatible approach to resolve multi-objective optimization problems because it … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 1 · 22 Apr 2015 · 7,323 accessesView PDFCite
Research ArticleOpen accessIn the abstractOSCILLATORY SYNTHETIC BIOLOGICAL SYSTEM CONSTRUCTION USING INTERACTIVE EVOLUTIONARY COMPUTATIONSQuang Huy Dinh, Nasimul Noman, Hitoshi IbaIn this study, we propose an Interactive Evolutionary Computation system to design gene networks for synthetic biology, of which the objective is to construct new organisms through the artificial synthesis of gene networks. Wet laboratories typically design gene networks through trial and error methods, which makes the construction of complex networks difficult. As a solution, automation can significantly improve the … …Journal of Computer Science, Vol. 10, Issue 12 · 14 Jan 2015 · 8,476 accessesView PDFCite
Research ArticleOpen accessIn the abstractAN EFFICIENT CELL PLACEMENT USING GRAVITATIONAL SEARCH ALGORITHMSRose Al Qasem, Taisir EldosIn modern chip design, cell placement is a stage in which cells representing well-defined functions are assigned physical locations, in a way that optimizes the total area and routing length. Cell placement is an NP-complete problem and the exact solution is generally far from reach for a practically sized instance. Hence, diversified heuristic algorithms are used to solve this problem. … …Journal of Computer Science, Vol. 9, Issue 8 · 25 Jun 2013 · 7,371 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenetic Algorithm Based Proportional Integral Controller Design for Induction MotorMohanasundaram Kuppusamy, Rajasekar NatarajanProblem statement: This study has expounded the application of evolutionary computation method namely Genetic Algorithm (GA) for estimation of feedback controller parameters for induction motor. GA offers certain advantages such as simple computational steps, derivative free optimization, reduced number of iterations and assured near global optima. The development of the method is well documented and computed and measured results are … …Journal of Computer Science, Vol. 7, Issue 3 · 9 Mar 2011 · 6,936 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Resonance Theory Training Parameters: Pretty Good SetsTaisir Mohammad Eldos, Abdulaziz Suleiman AlmazyadProblem statement: ART1 artificial neural networks offer good tools for test clustering, where no expert is needed if the system is well trained. However, having no output reference for the input patterns makes it hard to judge the quality of the training. Moreover, the performance depends to a great extent on a set of training parameters. Designers follow some recommendations … …Journal of Computer Science, Vol. 6, Issue 12 · 6 Nov 2010 · 7,155 accessesView PDFCite
Research ArticleOpen accessIn the abstractArchitectural Review of Load Balancing Single System ImageB. S. Ahmed, K. Samsudin, A. R. RamliProblem statement: With the growing popularity of clustering application combined with apparent usability, the single system image is in the limelight and actively studied as an alternative solution for computational intensive applications as well as the platform for next evolutionary grid computing era. Approach: Existing researches in this field concentrated on various features of Single System Images like file system … …Journal of Computer Science, Vol. 4, Issue 9 · 30 Sep 2008 · 8,628 accessesView PDFCite
Research ArticleOpen accessIn the abstractNon-dominated Sorting Genetic Algorithms for Heterogeneous Embedded System DesignA. K. Rath, S. N. DehuriThe design of complex embedded systems involves the simultaneous optimization of several conflicting and competing objectives. Instead of a single global optimal solution, there exist a set of Pareto optimal solutions. In this study we have used a multi-objective evolutionary optimization algorithms called non-dominated sorting genetic algorithm (NSGA), which will suit to the requirements of designing a complex heterogeneous embedded … …Journal of Computer Science, Vol. 2, Issue 3 · 31 Mar 2006 · 6,693 accessesView PDFCite
Research ArticleOpen accessIn the abstractEOS: Evolutionary Overlay Service in Peer-to-Peer SystemsL. I. Zhijun, Liao MinghongThe peer-to-peer (P2P) systems nowadays can be mainly classified into two categories: structured and structure-less systems based on their overlay organization. The structured systems can achieve determinate efficiency due to their rigorous structure with the cost of losing robustness and vice versa. We provide a semi-structured overlay based on the separation of routing structures and overlay organizations in this paper … …American Journal of Applied Sciences, Vol. 2, Issue 10 · 31 Oct 2005 · 6,349 accessesView PDFCite
Research ArticleOpen accessIn the abstractSystem Evolving using Ant Colony Optimization AlgorithmNada M.A. AL-SalamiProblem statement: The goal of automatic programming system is to create, in an automated way, a computer program that enables a computer to solve a problem. It is difficult to build an automatic programming system: They require carefully designed specification languages and an intimate knowledge base. Determine the relevance of mathematical system theory to the problems of automatic programming and … …Journal of Computer Science, Vol. 5, Issue 5 · 30 May 2009 · 7,516 accessesView PDFCite