Open AccessBook
Adaptation in natural and artificial systems
John H. Holland
- 01 Jan 1975
TL;DR: Names of founding work in the area of Adaptation and modiication, which aims to mimic biological optimization, and some (Non-GA) branches of AI.
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Abstract: Name of founding work in the area. Adaptation is key to survival and evolution. Evolution implicitly optimizes organisims. AI wants to mimic biological optimization { Survival of the ttest { Exploration and exploitation { Niche nding { Robust across changing environments (Mammals v. Dinos) { Self-regulation,-repair and-reproduction 2 Artiicial Inteligence Some deenitions { "Making computers do what they do in the movies" { "Making computers do what humans (currently) do best" { "Giving computers common sense; letting them make simple deci-sions" (do as I want, not what I say) { "Anything too new to be pidgeonholed" Adaptation and modiication is root of intelligence Some (Non-GA) branches of AI: { Expert Systems (Rule based deduction)
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Citations
Harmony search for generalized orienteering problem: best touring in China
Zong Woo Geem,Chung-Li Tseng,Yongjin Park +2 more
- 27 Aug 2005
TL;DR: The HS was applied to a TSP-like NP-hard Generalized Orienteering Problem (GOP) which is to find the utmost route under the total distance limit while satisfying multiple goals and showed that the algorithm could find good solutions when compared to those of artificial neural network.
Mean-semivariance models for fuzzy portfolio selection
TL;DR: Two fuzzy mean-semivariance models are proposed based on the concept of semivariance of fuzzy variable, and a fuzzy simulation based genetic algorithm is presented to solve portfolio selection problem in fuzzy environment.
246
Novel methodology of cardiac health recognition based on ECG signals and evolutionary-neural system
TL;DR: An innovative research methodology is presented that enables the efficient classification of cardiac disorders (17 classes) based on ECG signal analysis and an evolutionary-neural system and these results are some of the best results to date.
246
Intelligent Mutation Rate Control in Canonical Genetic Algorithms
Thomas Bäck,Martin Schütz +1 more
- 09 Jun 1996
TL;DR: The strengths of the proposed deterministic schedule and the self-adaptation method are demonstrated by a comparison of their performance on difficult combinatorial optimization problems, and both methods are shown to perform significantly better than the canonical genetic algorithm.
246
Real-Time Myoprocessors for a Neural Controlled Powered Exoskeleton Arm
TL;DR: The myoprocessor seems an adequate model, sufficiently robust for further integration into the exoskeleton control system, and high correlation between joint moment predictions of the model and the measured data is indicated.
References
•Book
Petroleum Refinery Process Economics
Robert E. Maples
- 01 Feb 1993
TL;DR: In this paper, the reader is presented with an organized look at the yield data for refinery processes and how to use this information in performing process economic studies of various types, such as refining.
212
•Book
The Graphic Language of Neville Brody
Jon Wozencroft
- 01 Jan 1988
TL;DR: The second instalment in the continuing Neville Brody story appeared in this paper with three new typefaces: Blur, Pop, and FF Gothic, created for Fontshop International of Berlin, publishers of "FUSE", the inetractive magazine set up by Brody in 1990 as a new forum for experimental typography.
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