Global Journal of Technology and Optimization is blind peer-review journal in evolutionary methods of optimization. Global Journal of Technology and Optimization (GJTO) - Open Access gives barrier-free access to the literature for research. It increases convenience, reach, and retrieval power. Free online literature is available for software that facilitates full-text searching, indexing, mining, summarizing, translating, querying, linking, recommending, alerting, "mash-ups" and other forms of processing and analysis.
Evolutionary Optimization Algorithms Provides a straightforward, bottom-up approach that assists the reader in obtaining a clear but theoretically rigorous understanding of evolutionary algorithms, with an emphasis on implementation. It includes chapter-end problems plus a solutions manual available online for instructors. These algorithams provides advanced mathematical techniques for analyzing EAs, including Markov modeling and dynamic system modeling.
OMICS International is devoted to the prompt publication of original findings of the highest scientific priority and value that provide novel insights into Evolutionary Optimization Algorithms. Abstracts and full texts (HTML, PDF and XML format) of all articles.
Last date updated on June, 2014