Evolutionary Computation 2020 Article Swipe
YOU?
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· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/books978-3-0365-2395-8
Intelligent optimization is based on the mechanism of computational intelligence to refine a suitable feature model, design an effective optimization algorithm, and then to obtain an optimal or satisfactory solution to a complex problem. Intelligent algorithms are key tools to ensure global optimization quality, fast optimization efficiency and robust optimization performance. Intelligent optimization algorithms have been studied by many researchers, leading to improvements in the performance of algorithms such as the evolutionary algorithm, whale optimization algorithm, differential evolution algorithm, and particle swarm optimization. Studies in this arena have also resulted in breakthroughs in solving complex problems including the green shop scheduling problem, the severe nonlinear problem in one-dimensional geodesic electromagnetic inversion, error and bug finding problem in software, the 0-1 backpack problem, traveler problem, and logistics distribution center siting problem. The editors are confident that this book can open a new avenue for further improvement and discoveries in the area of intelligent algorithms. The book is a valuable resource for researchers interested in understanding the principles and design of intelligent algorithms.
Related Topics
- Type
- book
- Language
- en
- Landing Page
- https://doi.org/10.3390/books978-3-0365-2395-8
- OA Status
- gold
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4200117834
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4200117834Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/books978-3-0365-2395-8Digital Object Identifier
- Title
-
Evolutionary Computation 2020Work title
- Type
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bookOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-12-03Full publication date if available
- Authors
-
Gai‐Ge Wang, Amir H. AlaviList of authors in order
- Landing page
-
https://doi.org/10.3390/books978-3-0365-2395-8Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.3390/books978-3-0365-2395-8Direct OA link when available
- Concepts
-
Computer science, Particle swarm optimization, Multi-swarm optimization, Metaheuristic, Mathematical optimization, Evolutionary computation, Optimization problem, Evolutionary algorithm, Ant colony optimization algorithms, Artificial intelligence, Algorithm, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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