Bioinspired Optimization Methods and their Applications
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forthcomming BIOMA 2016
Natural phenomena, like the evolution of species, emergent behavior of biological societies, and functioning of the vertebrate immune system, have inspired computer scientists to design advanced problem-solving techniques, known as evolutionary algorithms, ant colony optimization, and artificial immune systems. These and many other bioinspired algorithms that continue to emerge, overcome many limitations of traditional algorithms and have been widely accepted in science, engineering and business. Solving intricate optimization problems in these domains is of particular interest to both designers and practitioners of bioinspired algorithms.

This site contains recent theoretical and practical contributions to the field of bioinspired optimization presented at the International Conferences on Bioinspired Optimization Methods and their Applications (BIOMA).