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Evolutionary Computation: Theories, Techniques, and Applications
Applied SciencesEvolutionary computation is now nearly 50 years old, originating with the seminal work of John Holland at the University of Michigan in 1975 which introduced the genetic algorithm [...]
Vincent A. Cicirello
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IEEE Access, 2020 Binary butterfly optimization approach (bBOA) is a recent high performing feature selection algorithm presented in 2018 which is based on the food foraging behavior of butterflies.
Bo Zhang +4 more
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An evolutionary computation classification method for high‐dimensional mixed missing variables data
Electronics Letters, 2023 Data missing is a prevalent issue in various real‐world systems. It may deteriorate the performance of classification algorithms running on these platforms. Numerous effective imputation methods exist to address this problem.
Mengmeng Li +4 more
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A Review of Gait Optimization Based on Evolutionary Computation
Applied Computational Intelligence and Soft Computing, 2010 Gait generation is very important as it directly affects the quality of locomotion of legged robots. As this is an optimization problem with constraints, it readily lends itself to Evolutionary Computation methods and solutions.
Daoxiong Gong, Jie Yan, Guoyu Zuo
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Evolutionary Computation Methods and their applications in Statistics
Statistica, 2013 A brief discussion of the genesis of evolutionary computation methods, their relationship to artificial intelligence, and the contribution of genetics and Darwin’s theory of natural evolution is provided.
Francesco Battaglia
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Quality Diversity: A New Frontier for Evolutionary Computation
Frontiers in Robotics and AI, 2016 While evolutionary computation and evolutionary robotics take inspiration from nature, they have long focused mainly on problems of performance optimization.
Justin K Pugh +2 more
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Evolutionary multiobjective optimization: open research areas and some challenges lying ahead
Complex & Intelligent Systems, 2019 Evolutionary multiobjective optimization has been a research area since the mid-1980s, and has experienced a very significant activity in the last 20 years. However, and in spite of the maturity of this field, there are still several important challenges
Carlos A. Coello Coello +4 more
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Aspects of Evolutionary Design by Computers [PDF]
arXiv, 1998 This paper examines the four main types of Evolutionary Design by computers: Evolutionary Design Optimisation, Evolutionary Art, Evolutionary Artificial Life Forms and Creative Evolutionary Design. Definitions for all four areas are provided. A review of current work in each of these areas is given, with examples of the types of applications that have ...
arxiv
Efficient Computation of Fitness Function for Evolutionary Clustering
Mendel, 2019 Evolutionary algorithms (EAs) are random search heuristics which can solve various optimization problems. There are plenty of papers describing different approaches developed to apply evolutionary algorithms to the clustering problem, although none of ...
Sergey Muravyov +3 more
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A Technique for Improving Web Mining using Enhanced Genetic Algorithm [PDF]
Journal of Artificial Intelligence and Data Mining, 2019 World Wide Web is growing at a very fast pace and makes a lot of information available to the public. Search engines used conventional methods to retrieve information on the Web; however, the search results of these engines are still able to be refined ...
F. Nosratian, H. Nematzadeh, H. Motameni
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