Open AccessBook
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
Citations
More filters
Heuristic vs. meta-heuristic optimization for energy performance of a post office building
TL;DR: Application of heuristic and meta-heuristic to energy optimization of a post office building is presented and it is not surprising that GA is much better in finding a global optimum than the heuristic approach but it takes significant simulation run times and programming effort.
Journal ArticleDOI
Interactive fuzzy stochastic two-level integer programming through fractile criterion optimization
TL;DR: Using the fractile criterion optimization model in chance constrained programming, the formulated stochastic two-level integer programming problems are transformed into deterministic ones and an interactive fuzzy programming method is presented to derive a satisfactory solution.
Journal ArticleDOI
Combining Bayesian classifiers and estimation of distribution algorithms for optimization in continuous domains
TL;DR: This paper proposes and reviews different Bayesian classifiers for implementing the Evolutionary Bayesian Classifier-based Optimization Algorithm (EBCOA), and presents a deep study on the behavior of these algorithms with classical optimiztion problems in continuous domains.
Book ChapterDOI
Self-organization in Pedestrian Crowds
TL;DR: Interestingly enough, the non-linear interactions of pedestrians lead to various complex, spatio-temporal pattern-formation phenomena, which have important implications for the optimization of pedestrian facilities, in particular for evacuation situations.
Proceedings ArticleDOI
Genetic algorithm with search area adaptation for the function optimization and its experimental analysis
Hiroshi Someya,Masayuki Yamamura +1 more
TL;DR: Through several experiments, it is confirmed that GSA works adaptively and it shows higher performance than existing methods and the paper would like to propose a superior method for function optimization.