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Formal memetic algorithms

1994
A formal, representation-independent form of a memetic algorithm—a genetic algorithm incorporating local search—is introduced. A generalised form of N-point crossover is defined together with representation-independentpatching and hill-climbing operators.
Nicholas J. Radcliffe, Patrick D. Surry
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Memetic Algorithms and Memetic Computing Optimization: A Literature Review

Swarm and Evolutionary Computation, 2020
Abstract Memetic computing is a subject in computer science which considers complex structures such as the combination of simple agents and memes, whose evolutionary interactions lead to intelligent complexes capable of problem-solving. The founding cornerstone of this subject has been the concept of memetic algorithms, that is a class of ...
Ferrante Neri, Carlos Cotta
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Multiobjective Memetic Algorithms

2012
Multiple conflicting points of view, which are often taken into account in real life applications, naturally result in a multiple objective optimization problem (MOP) [848]. In order to find the best compromise solution of a MOP, or a good approximation of it, Multiobjective Optimization (MOO) methods need some preference information from a decision ...
Andrzej Jaszkiewicz   +2 more
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Canonical Memetic Algorithms

2018
The remarkable flexibility of evolutionary computation (EC) in handling a wide range of problems, encompassing search, optimization, and machine learning, opens up a path to attaining artificial general intelligence. However, it is clear that excessive reliance on purely stochastic evolutionary processes, with no expert guidance or external knowledge ...
Abhishek Gupta, Yew-Soon Ong
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Memetic Algorithms in Bioinformatics

2012
Bioinformatics is an exciting research field for memetic algorithms (MAs). Its core activity is the integration of techniques from Computer Science, Mathematics and Statistics to address challenging computational problems related with the analysis of large volumes of data.
Berretta, Regina   +2 more
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Improving ontology alignment through memetic algorithms

2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 2011
Born primarily as means to model knowledge, ontologies have successfully been exploited to enable knowledge exchange among people, organizations and software agents. However, because of strong subjectivity of ontology modeling, a matching process is necessary in order to lead ontologies into mutual agreement and obtain the relative alignment, i.e., the
ACAMPORA, GIOVANNI   +4 more
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MAPM: memetic algorithms with population management

Computers & Operations Research, 2006
A new metaheuristic for (combinatorial) optimization is presented: memetic algorithms with population management or MA|PM. An MA|PM is a memetic algorithm, that combines local search and crossover operators, but its main distinguishing feature is the use of distance measures for population management.
Sörensen, Kenneth, Sevaux, Marc
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Improved Memetic Programming algorithm

International Journal of Operational Research, 2021
Souhir Elleuch, Bassem Jarboui
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Memetic Algorithms

2020
Walt Truszkowski   +3 more
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Handbook of Memetic Algorithms

2012
Memetic Algorithms (MAs) are computational intelligence structures combining multiple and various operators in order to address optimization problems. The combination and interaction amongst operators evolves and promotes the diffusion of the most successful units and generates an algorithmic behavior which can handle complex objective functions and ...
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