For this problem we describe a simple but effective extension of a genetic algorithm (GA) based on chromosome permutation and a splitting procedure. For large instances it is obvious to use the original GA as benchmark. These approaches are applied on test instances for the considered problem and on Solomon instances.doi:10.1007/978...
Association of Computer Communication Education for National Triumph (ACCENT)International Journal of Advanced Computer ResearchPal, B.B., Chakraborti, D., Biswas, P.: A Genetic Algorithm Based Goal Programming Approach to Interval-Valued Multilevel Programming Problems. In: 2nd International Conference...
genetic algorithmThis paper presents a genetic algorithm based procedure for automatic identification of crack profiles. In the procedure geometric modeling technique is applied to incorporate crack(s) into the structure under evaluation and a geometric model is generated. The geometric model is then ...
In order to deal with the poor prediction precision problem of material parameter identification for rockfill materials,a procedure based on genetic algorithm is proposed.Duncan-Chang nonlinear constitutive model is adopted to characterize the behavior of the modeled rockfill materials.An analytical solution...
Secondly, the Dubins paths have been integrated in the algorithm, allowing to simplify the previous 3-step process presented in [9] into a single-step process, thus, making the generation of the approach procedure more robust. More details regarding the several algorithms have also been added, ...
It is typically assumed that the observable random variable (say, Y) depends on a number of loci with quantitative traits (say Q1,…, Qm) and possibly under the surveillance of genetic markers at some of these loci, and in view of the multiplicity of the traits and markers, it is ...
Sargondjani 2012년 4월 7일 추천 0 링크 번역 im facing a similar problem, and im looking into the global optimization toolbox. patternsearch or the genetic algorithm might be helpful 댓글 수: 0 댓글을 달려면 로그인하십시오....
a set of allocation options, i.e. chromosomes, constitutes a generation, of which generally the best ones are selected for reproduction to form a new generation of chromosomes. The new generation is formed from the selected chromosomes using a genetic algorithm, via selection, crossbreeding and/or...
6. Procedure as defined in claim 1, characterised in that the chromosomes to be altered are selected on the basis of their fitness function values. 7. Procedure as defined in claim 1, characterised in that the chromosomes are altered by means of a genetic algorithm via selection, hybridisation...
This results from the fact ofdifferent criteria and different objective function values using.Practical implications: The simple and universal Poli-Opt version 1.0 software using elementary, but quitesufficient in practice, genetic algorithm could be in every company applied.Originality/value: The ...