alexa Evolutionary Methods Of Optimization|OMICS International|Global Journal Technology And Optimization

Evolutionary Methods Of Optimization

Global Journal of Technology and Optimization is best open access journal in evolutionary methods of optimization. It can publishes global research in the areas of energy optimization and engineering. The journal provides relevant theoretical frameworks and the latest empirical research findings in the areas of energy systems and hybrid intelligent optimization. This interdisciplinary journal examines and encourages research within energy optimization and engineering fields, including novel meta-heuristics optimization techniques such as fuzzy logic, neural networks, evolutionary algorithms, mathematical programming, pattern search, particle swarm optimization, ant colony optimization, and hybrid optimization in a variety of engineering, science, business, and energy systems of real world practical application problems. Evolutionary methods and optimization is involved in two types of problem difficulty: i)multiple, conflicting objectives and ii) a highly complex search space. On the one hand, instead of a single optimal solution competing goals give rise to a set of compromise solutions, generally denoted as Pareto-optimal. In the absence of preference information, none of the corresponding trade-offs can be said to be better than the others. On the other hand, the search space can be too large and too complex to be solved by exact methods. Thus, efficient optimization strategies are required that are able to deal with both difficulties. Evolutionary algorithms possess several characteristics that are desirable for this kind of problem and make them preferable to classical optimization methods. This examination Provides advanced mathematical techniques for analyzing EAs, including Markov modeling and dynamic system modeling. OMICS Group is ardent to Open Access. We strongly believe that removing barriers to research published online will greatly aid to the progress in OMICS scientific and technical disciplines. All published articles will be assigned DOI provided by CrossRef. Global Journal of Technology and Optimization (GJTO) will keep upto date with latest advances in the field and papers published in Global Journal of Technology and Optimization (GJTO) will reach the readers directly by email for free of cost.
 
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Last date updated on June, 2014