A connectionist machine for genetic hillclimbing
A connectionist machine for genetic hillclimbing
Distributed genetic algorithms
Proceedings of the third international conference on Genetic algorithms
Annals of Operations Research - Special issue on Tabu search
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
An Accelerated Genetic Algorithm
Applied Intelligence
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
Evolutionary computation using Island populations in time
IEA/AIE'2004 Proceedings of the 17th international conference on Innovations in applied artificial intelligence
On the use of variable mutation in an evolutionary algorithm
IEA/AIE'1997 Proceedings of the 10th international conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems
Chromosome reuse in genetic algorithms
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Registrar: a complete-memory operator to enhance performance of genetic algorithms
Journal of Global Optimization
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This paper describes the effects of adding gene reincarnation to a biologically inspired evolutionary algorithm. When using the biologically inspired part of the algorithm we are able to draw on experience from real life. Reincarnation capabilities, however, must be constructed without any real life experience to guide us. This paper addresses the question 'can reincarnation be added to a genetic algorithm in such a way as to modify the resulting evolutionary process'? Reincarnation in this context requires that genetic information, saved from earlier generations, be bought back and reintroduced into the population at a later time. A simple algorithm is introduced that selects particular genetic material to add to the storage, performs regular culls of the stored material and inserts some of the stored material back into targeted individuals in later generations. Preliminary experiments show that while much of the reinserted material vanishes without having any obvious evolutionary effect, a small proportion remains for many generations and changes the course of the evolution compared to a genetic algorithm identical in all respects except that it lacks reincarnation.