The effect of genetic operator probabilities and selection strategies on the performance of a genetic algorithm

Wiese, Kay C.; Goodwin, Scott D.

doi:10.1007/3-540-64575-6_46

Cited by 4 publications

(1 citation statement)

References 4 publications

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“…In such cases the GA would not make significant progress, and also loses valid off springs. They have also shown that the standard selection strategy [10,13], which always keeps both offspring, is shown to have inferior performance on test problems Figure 3 shows a modification of algorithm that incorporates modified keep-best reproduction.It is intuitively clear that KBR has a higher selection pressure than the standard replacement technique of replacing both parents by their two offspring [5,6]. We refer to the latter selection strategy as Standard Selection or short STDS [10].…”

Section: B Modified Keep Best Reproduction Strategy (Mkbr)mentioning

confidence: 99%

A solution to protein folding problem using a genetic algorithm with modified keep best reproduction strategy

Judy

Ravichandran

2007

2007 IEEE Congress on Evolutionary Computation

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Genetic algorithms have proved to be a successful method for predicting the protein structure. In this paper, we propose a new intermediate selection strategy for genetic algorithms and we implement it for protein folding problem. In a standard genetic algorithm the children replace their parents. The idea behind this is that both parents pass on their good genetic material to their children. In practice however, children can have worse fitness than their parents. We therefore propose another intermediate selection step, which we call as modified keep-best reproduction (MKBR) that ensures that new genetic information is entered into the gene pool, as well as good previous genetic material is being preserved. We have demonstrated the superiority of modified keep-best reproduction on several instances of the proteinfolding problem, which not only finds the optimum solution, but also finds them faster than the standard generational replacement schemes.

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Section: B Modified Keep Best Reproduction Strategy (Mkbr)mentioning

confidence: 99%

A solution to protein folding problem using a genetic algorithm with modified keep best reproduction strategy

Judy

Ravichandran

2007

2007 IEEE Congress on Evolutionary Computation

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Fixture layout optimization for flexible aerospace parts based on self-reconfigurable swarm intelligent fixture system

Molfino

Zoppi

2012

Int J Adv Manuf Technol

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Based on the development demand of a novel intelligent fixture system, a self-reconfigurable intelligent swarm fixture system is presented. This paper deals with the fixturing layout optimization of a flexible aerospace workpiece. A new fixturing principle, "N-2-1-1," is put forward. The optimization procedure for fixture layout combined with genetic algorithm and finite element analysis is developed and verified by case study simulation

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Localisation and Pre-calculation for Anti-missile Defence Shield System

Saeedvand

Razavi

Aghdasi

2016

DSJ

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One of the most important problems in anti-missile systems is localisation ambulatory missiles' defence sites along with fixed missiles' defence sites in best positions to destroy enemy's missiles. For localisation, there are lots of constraints and consumptions, which should be considered to making predictions in missiles behaviours. An optimum algorithm for localisation of the missiles' defence sites is provided. Predictions of attackers' missiles behaviors for assisting real-time defending operations in the defender sites is also provided. One simulator for finding the best places to locate ambulatory missiles' defence sites presented. This simulator considers fixed and ambulatory missiles' defence sites along with their parameters to provide best solutions by relying on modified genetic algorithm.

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The effect of genetic operator probabilities and selection strategies on the performance of a genetic algorithm

Cited by 4 publications

References 4 publications

A solution to protein folding problem using a genetic algorithm with modified keep best reproduction strategy

A solution to protein folding problem using a genetic algorithm with modified keep best reproduction strategy

Fixture layout optimization for flexible aerospace parts based on self-reconfigurable swarm intelligent fixture system

Localisation and Pre-calculation for Anti-missile Defence Shield System

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