Results 141 to 150 of about 1,067 (175)
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Multi-agent memetic computing for adaptive learning experiences
International Conference on Fuzzy Systems, 2010Learning is a mechanism to acquire new knowledge and to enhance individual skills in industrial and academic environments. In particular, employing learning methods in an industrial context supports the overall business competitiveness in the new economy.
ACAMPORA, GIOVANNI +3 more
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Introduction: The Rise of Memetics in Computing
2018The word meme was coined in a sociological context by Richard Dawkins in his 1976 book The Selfish Gene. Drawing an analogy to our understanding of genes as basic units of biological heredity, the concept of memes was introduced for representing basic units of cultural information transfer.
Abhishek Gupta, Yew-Soon Ong
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A memetic model of evolutionary PSO for computational finance applications
Expert Systems with Applications, 2009Motivated by the compensatory property of EA and PSO, where the latter can enhance solutions generated from the evolutionary operations by exploiting their individual memory and social knowledge of the swarm, this paper examines the implementation of PSO as a local optimizer for fine tuning in evolutionary search.
Swee Chiang Chiam +2 more
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Discovering Unique, Low-Energy Transition States Using Evolutionary Molecular Memetic Computing
IEEE Computational Intelligence Magazine, 2013 In the last few decades, identification of transition states has experienced significant growth in research interests from various scientific communities.
Kwoh, C.K. +4 more
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Memetic Computing In Selected Agent-Based Evolutionary Systems
ECMS 2014 Proceedings edited by: Flaminio Squazzoni, Fabio Baronio, Claudia Archetti, Marco Castellani, 2014In the paper an application of selected agent-based evolutionary computing models, such as flock-based multi agent system (FLOCK) and evolutionary multi-agent system (EMAS), to the problem of continuous optimisation is presented. It turns out, that hybridizing of agent-based paradigm with evolutionary computation brings a new quality to the meta ...
Aleksander Byrski +1 more
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Classification of Nucleotides Using Memetic Algorithms and Computational Methods
2020This paper presents an approach to solve an optimization problem using clustering by genetic algorithm approach. The central idea is to form clusters of patients’ nucleotide data sets. The genetic algorithm is applied to this initial cluster population.
Rajesh Eswarawaka +3 more
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Memetic computation - past, present future
2021Accepted ...
Ong, Yew-Soon +2 more
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Memetic Algorithms and Their Applications in Computer Science
2018The term “memetic algorithm” was introduced by Moscato is an extension of the traditional genetic algorithm. It uses a local search technique to reduce the likelihood of the premature convergence. Memetic algorithms are intrinsically concerned with exploiting all available knowledge about the problem under study. MAs are population-based metaheuristics.
B. K. Tripathy +2 more
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An Efficient Memetic Algorithm for Job Scheduling in Computing Grid
2011Grid job scheduling is an NP complete problem, concerning the large-scale resource and job scheduling, and the adoptive and efficient job scheduling algorithm is required. Genetic algorithms show good capability to solve the problem of the small-scale, but with the increase in the number of jobs and resources, genetic algorithm is hard to convergence ...
Luo Zhong +3 more
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Memetic computing based numerical solution to Troesch problem
Journal of Intelligent & Fuzzy Systems, 2019In this paper, a numerical solution to the Troesch problem using a memetic computing technique is proposed. In this regard, a linear combination of Gaussian radial basis functions (GRBF) as approximate mathematical framework is suggested. A set of unknown yet adaptable parameters are modeled in a cost function, representing the trial solution ...
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