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Institute for Logic, Language and Computation

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CfP special issue of MCA on "Numerical and Evolutionary Optimization"

Deadline: Monday 31 December 2018

The development of powerful search and optimization techniques is of great importance in science and engineering, particularly in today's world, which requires researchers and practitioners to tackle a variety of challenging real-world problems as technology becomes an ever-more-important aspect of everyday life. There are two well-established and widely-known fields that are addressing these issues: (i) traditional numerical optimization techniques and (ii) comparatively recent bio-inspired heuristics. Both of these fields have developed approaches with their unique strengths and weaknesses, allowing them to solve some challenging problems while sometimes failing in others.

The aim of this SI is to collect papers on the intersection of numerical and evolutionary optimization.

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