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
Proceedings ArticleDOI
Collaborative evolutionary multi-project resource scheduling
M. Shackelford,David Corne +1 more
TL;DR: This work justifies and describes a collaborative evolutionary scheduling system, which enables the search to be guided by both the standard schedule quality criteria and also the master scheduler's non-formalised knowledge and experience.
Book ChapterDOI
Bayesian Evolutionary Optimization Using Helmholtz Machines
Byoung-Tak Zhang,Soo-Yong Shin +1 more
TL;DR: A Bayesian evolutionary algorithm (BEA) that learns the sample distribution by a probabilistic graphical model known as Helmholtz machines is presented, which outperforms the simple genetic algorithm.
Journal ArticleDOI
GA Guided Cluster Based Fuzzy Decision Tree for Reactive Ion Etching Modeling: A Data Mining Approach
TL;DR: A novel data mining technique, genetically guided cluster based fuzzy decision tree (GCFDT), is introduced for the mining task and it is employed for building the predictive process models of reactive ion etching (RIE) with the aid of optical emission spectroscopy (OES) signals.
Book ChapterDOI
Survivable Network Design with an Evolution Strategy
Volker Nissen,Stefan Gold +1 more
TL;DR: A novel evolutionary approach to survivable network design is presented when considering both economics and reliability and clearly outperforms existing benchmark results by genetic algorithms.
Journal ArticleDOI
Automatically composing and parameterizing skills by evolving Finite State Automata
Lorenzo Riano,TM McGinnity +1 more
TL;DR: The results show that an FSA generated in simulation can be directly applied to a real robot without modifications and the evolved FSA is robust to the noise and the uncertainty arising from real-world sensors.