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Evolutionary algorithms in theory and practice
TLDR
In this work, the author compares the three most prominent representatives of evolutionary algorithms: genetic algorithms, evolution strategies, and evolutionary programming within a unified framework, thereby clarifying the similarities and differences of these methods.About:
The article was published on 1996-01-01 and is currently open access. It has received 2679 citations till now. The article focuses on the topics: Evolutionary music & Evolutionary programming.read more
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Proceedings ArticleDOI
A novel hybrid evolutionary programming method for function optimization
Akshya Swain,A.S. Morris +1 more
TL;DR: This paper is concerned with the development of an evolutionary programming method, which is functionally, and structurally equivalent to BEP, but still can be used effectively to optimize functions having strong fitness dependency between parents and their offspring.
Journal ArticleDOI
A Genetic Fuzzy-Rule-Based Classifier for Land Cover Classification From Hyperspectral Imagery
TL;DR: An extensive comparative analysis, using an Earth Observing-1 Hyperion satellite image, highlights the quality advantages of the proposed system, when compared with nonfuzzy classifiers, commonly employed in hyperspectral classification tasks.
Journal ArticleDOI
Robust optimization of 2D airfoils driven by full Navier–Stokes computations
Sergey Peigin,Boris Epstein +1 more
TL;DR: The results demonstrated that the approach combines high accuracy of optimization and efficient handling of various non-linear constraints with high computational efficiency and robustness and allowed the method to be used in a demanding engineering environment.
Journal ArticleDOI
Supplies from developing countries: Optimal order quantities under loss risks☆
TL;DR: An interesting observation is made is that the optimal order quantity of a material need not be monotonic in expected loss of that material, and explanations as to why the expected loss need not been monotony are offered.
Journal ArticleDOI
Optimal design of submarine pipeline routes by genetic algorithm with different constraint handling techniques
Rodrigo Ribeiro de Lucena,Juliana Souza Baioco,Beatriz Souza Leite Pires de Lima,Carl Horst Albrecht,Breno Pinheiro Jacob +4 more
TL;DR: The results indicate the importance of clearly characterizing feasible and infeasible solutions, according to the classification of design criteria as “soft” or “hard” respectively, and that the static penalty approach is not adequate, while the other techniques performed better, especially the e-Constrained and the Ho-Shimizu methods.