Results 101 to 110 of about 123,558 (314)
Challenges in real world optimisation using evolutionary computing [PDF]
, 2004 Challenges in real world optimisation using evolutionary computing With rising global competition, it is becoming increasingly more important for industry to optimise its activities.
Tiwari, Ashutosh, Roy, Rajkumar
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04081 Abstracts Collection – Theory of Evolutionary Algorithms [PDF]
, 2006 From 15.02.04 to 20.02.04, the Dagstuhl Seminar 04081 ``Theory of Evolutionary Algorithms'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl.
Vose, Michael D. +3 more
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Advanced Engineering Materials, EarlyView.We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
Edge of chaos and evolutionary algorithms
, 2016 An unconventional approach of the edge of chaos and its application to discrete systems is described in this chapter. Langton?s approach to cellular automata and its unique ordered and chaotic behavior is discussed.
Davendra, Donald David
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Dual population-based incremental learning for problem optimization in dynamic environments [PDF]
, 2003 Copyright @ 2003 Asia Pacific Symposium on Intelligent and Evolutionary SystemsIn recent years there is a growing interest in the research of evolutionary algorithms for dynamic optimization problems since real world problems are usually dynamic, which ...
Yang, S +5 more
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A Framework for Distributed Evolutionary Algorithms [PDF]
, 2002 This paper describes the recently released DREAM (Distributed Resource Evolutionary Algorithm Machine) framework for the automatic distribution of evolutionary algorithm (EA) processing through a virtual machine built from large numbers of individual machines linked by standard Internet protocols.
Maribel García Arenas +7 more
openaire +2 more sources
Advanced Engineering Materials, EarlyView.Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova +2 more
wiley +1 more source
Evolutionary Computation and Its Applications in Neural and Fuzzy Systems
Applied Computational Intelligence and Soft Computing, 2011 Neural networks and fuzzy systems are two soft-computing paradigms for system modelling. Adapting a neural or fuzzy system requires to solve two optimization problems: structural optimization and parametric optimization.
Biaobiao Zhang +3 more
doaj +1 more source
A Solution to the N-Queens Problem Using Biogeography-Based Optimization
International Journal of Interactive Multimedia and Artificial Intelligence, 2017 Biogeography-based Optimization (BBO) is a global optimization algorithm based on population, governed by mathematics of biogeography, and dealing with geographical distribution of biological organisms.
Ali Habiboghli, Tayebeh Jalali
doaj +1 more source
Multi-objective worst case optimization by means of evolutionary algorithms [PDF]
Many real-world optimization problems are subject to uncertainty. A possible goal is then to find a solution which is robust in the sense that it has the best worst-case performance over all possible scenarios.
Avigad, Gideon +2 more
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