Automatic Design of Optimization Algorithms and Their Practical Applications

Dear Colleagues,

Natural phenomena have inspired almost all the technological progress of humankind. Although this has represented crucial support in proposing new methodologies, particularly in optimization, the current trend of bio-inspired techniques has become frenetic. Interestingly, many of these techniques often reuse parts implemented in different applications. For that reason, we intend to launch this Special Issue to welcome original investigations on the automatic design of optimization algorithms for general or particular applications in benchmark and real-life problems. High-quality manuscripts that address the generation of metaphor-less hyper-heuristics, metaheuristics, and hybrid algorithms from theoretical and practical perspectives are solicited. Implementations using machine learning models for generating heuristic-based or heuristic-free techniques with outstanding performances are welcome. Potential topics include, but are not limited to, continuous optimization problems, scheduling, routing, packing, partitioning, graph theory, multi-criteria optimization, multi-objective optimization, and time complexity analysis.

We hope that this initiative is of your interest, and we encourage you to submit your current research to be included in the Special Issue.

Dr. Jorge Mario Cruz-Duarte
Prof. Dr. Nelishia Pillay 
Guest Editors

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