|Global Journal of Technology and Optimization (GJTO) is good scholery journal in evolutionary methods of optimization. It publishes Original research articles Case studies, rapid communications, Critical reviews, letters to the editor, conference proceedings, surveys, opinions. Our comprehensive team helps you to distribute your published paper. It can also publishes carefully refereed papers dealing with every theoretical computational and applicational aspect of global optimization.
Evolutionary algorithms (EAs) are a type of artificial intelligence. EAs are persuaded by enhancement forms that we see in nature, for example, characteristic choice, species relocation, winged creature swarms, human society, and ground dwelling insect states. Evolutionary Optimization Algorithms are Biologically Inspired and Population-Based Approaches to Computer Intelligence is an ideal text for advanced undergraduate students, graduate students, and professionals involved in engineering and computer science.
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