Algorithms for Optimization 2022
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 18635
Special Issue Editors
Interests: intelligent computation; evolutionary data mining; constrained optimization; multi-objective optimization and their applications in engineering optimization
Special Issue Information
Dear Colleagues,
In the real world, symmetry and asymmetry are present in various problems. Some of can be formulated as different types of optimization problems. Optimization methods are one of the key techniques in the field of artificial intelligence. In recent years, many new optimization techniques have emerged and developed, which have greatly promoted the development of artificial intelligence. Evolutionary computation, as a bionic optimization technique inspired by the co-evolution of individuals in biological populations, achieves the solution of complex problems by simulating the working patterns of biological individuals. Compared with traditional optimization methods, it has the advantages of not relying on the exact mathematical model of the problem to be solved, robustness, easy parallelism, etc. It has become a popular and promising research direction for solving complex optimization problems such as nonconvex optimization and combinatorial optimization in the field of artificial intelligence, and has important applications in many fields, such as intelligent manufacturing and smart logistics, and smart grids.
Prof. Dr. Wenyin Gong
Dr. Libao Deng
Guest Editors
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Keywords
- evolutionary computation
- evolutionary algorithms
- complex optimization
- multi-objective optimization
- multitasking optimization
- evolutionary algorithm applications
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