Search Results - subject:"Genetic algorithm"

Detecting high-order interactions of single nucleotide polymorphisms using genetic programming

Nunkesser, Robin; Bernholt, Thorsten; Schwender, Holger; … - 2007

.e. the number of literals of the logic expression. A further modification of the general genetic algorithm is that we do not …

Persistent link: https://www.econbiz.de/10003835975

The impact of component modularity on design evolution : evidence from the software industry

MacCormack, Alan (contributor); Rusnak, John (contributor); … - 2007

Persistent link: https://www.econbiz.de/10003710940

A GROUPING GENETIC ALGORITHM FOR THE MULTIPLE TRAVELING SALESPERSON PROBLEM

BROWN, EVELYN C.; RAGSDALE, CLIFF T.; CARTER, ARTHUR E. - In: International Journal of Information Technology & … 06 (2007) 02, pp. 333-347

cities to visit. The grouping genetic algorithm (GGA) is a type of genetic algorithm (GA) designed particularly for grouping …

Persistent link: https://www.econbiz.de/10005033372

Risk-resilient heuristics and genetic algorithms for security-assured grid job scheduling

Song, SS; Hwang, K; Kwok, YK - 2006

known scheduling heuristics, we developed a new space-time genetic algorithm (STGA) based on faster searching and protected …

Persistent link: https://www.econbiz.de/10009471524

Ein genetischer Algorithmus zur kostenorientierten Losgr??en- und Reihenfolgebestimmung bei getakteten Mehrproduktflie?linien

Reidel, Sonja - 2006

In vorliegender Arbeit wird das Problem der kostenorientierten Losgr??en- und Reihenfolgebestimmung bei getakteter Mehrproduktflie?linienfertigung untersucht. Das Problem kann als Teilproblem der Produktionsablaufplanung f?r den Fall der Serien- oder Sortenproduktion charakterisiert werden....

Persistent link: https://www.econbiz.de/10009484799

Selection matters

Pin, Paolo - Dipartimento di Matematica Applicata, Università Ca' … - 2006

agents evolve with a Genetic Algorithm. We find that the genetic selection operator are fundamental in determining the …

Persistent link: https://www.econbiz.de/10005076133

Global Optimization by Differential Evolution and Particle Swarm Methods: Evaluation on Some Benchmark Functions

Mishra, SK - Volkswirtschaftliche Fakultät, … - 2006

In this paper we compare the performance of the Differential Evolution (DE) and the Repulsive Particle Swarm (RPS) methods of global optimization. To this end, seventy test functions have been chosen. Among these test functions, some are new while others are well known in the literature; some are...

Persistent link: https://www.econbiz.de/10005835615

Policies Against Poverty: an Evalution

Contini, Dalit; Richiardi, Matteo - Society for Computational Economics - SCE - 2006

We propose an agent-based model to investigate the effects of policies against poverty â€“ income support, workfare policies and active labor market programs within different economic and institutional setting

Persistent link: https://www.econbiz.de/10005132584

Deriving the dependence structure of portfolio credit derivatives using evolutionary algorithms

Hager, Svenja (contributor); Schöbel, Rainer (contributor) - 2006

Even if the correct modeling of default dependence is essential for the valuation of portfolio credit derivatives, for the pricing of synthetic CDOs a one-factor Gaussian copula model with constant and equalpairwise correlationsfor all assets in the reference portfolio has become the standard...

Persistent link: https://www.econbiz.de/10003636680

Hybrid meta-heuristics for robust scheduling

Surico, M.; Kaymak, U.; Naso, D.; Dekker, Rommert - 2006

-objective Genetic Algorithm (GA) that searches for the set of best tradeoff solu- tions considering both the costs and the robustness of … solutions with low risk index. 6 Conclusions A hybrid meta-heuristic approach based on a multi-objective genetic algorithm …. Meyarivan. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6 …

Persistent link: https://www.econbiz.de/10003305838