Search Results - subject:"genetic algorithms"

A comprehensive evacuation planning model and genetic solution algorithm

Goerigk, Marc; Deghdak, Kaouthar; Heßler, Philipp - In: Transportation research / E : an international journal 71 (2014), pp. 82-97

Persistent link: https://www.econbiz.de/10010439539

Improved genetic algorithms for the travelling salesman problem

Ahmed, Zakir Hussain - In: International journal of process management and … 4 (2014) 1, pp. 109-124

Persistent link: https://www.econbiz.de/10010390783

Designing an if-then rules-based ensemble of heterogeneous bankruptcy classifiers : a genetic algorithm approach

Davalos, Sergio; Leng, Fei; Feroz, Ehsan H.; Cao, Zhiyan - In: Intelligent systems in accounting finance and … 21 (2014) 3, pp. 129-153

Persistent link: https://www.econbiz.de/10011348622

Cricketsim: a Genetic and Evolutionary Computer Simulation

Wagner, Kyle; Shaw, Kerry - In: Journal of Artificial Societies and Social Simulation 11 (2007) 1, pp. 3-3

We present cricketsim, an individual-based simulator of species and community dynamics that allows experimenters to manipulate genetic and evolutionary parameters as well as parameters affecting the simulated environment and its inhabitants. The simulator can model genotypic and phenotypic...

Persistent link: https://www.econbiz.de/10005481621

Multidisciplinary Optimization in Services Management

Moldoveanu, George; Pleter, Octavian Thor - In: Theoretical and Applied Economics 5(510) (2007) 5(510), pp. 7-15

classical optimization methods inadequate. The paper introduces the use of genetic algorithms and illustrates it in two examples … business, and genetic algorithms are the most adequate computation resource in this type of optimizations. …

Persistent link: https://www.econbiz.de/10005099744

Minimization of Keane’s Bump Function by the Repulsive Particle Swarm and the Differential Evolution Methods

Mishra, SK - Volkswirtschaftliche Fakultät, … - 2007

Keane’s bump function is considered as a standard benchmark for nonlinear constrained optimization. It is highly multi-modal and its optimum is located at the non-linear constrained boundary. The true minimum of this function is, perhaps, unknown. We intend in this paper to optimize Keane’s...

Persistent link: https://www.econbiz.de/10005621797

In search of efficient network structures: The needle in the haystack

Carayol, Nicolas; Roux, Pascale; Yildizoglu, Murat - Groupe de Recherche en Économie Théorique et … - 2007

task, even for a relatively small number of agents. In this paper, we explore the possibility of using genetic algorithms …

Persistent link: https://www.econbiz.de/10005741181

Convergence in Finite Cournot Oligopoly with Social and Individual Learning

VALLEE, Thomas; YILDIZOGLU, Murat - Groupe de Recherche en Économie Théorique et … - 2007

Convergence to Nash equilibrium in Cournot oligopoly is a problem that recurrently arises as a subject of study in economics. The development of evolutionary game theory has provided an equilibrium concept more directly connected with adjustment dynamics and the evolutionary stability of the...

Persistent link: https://www.econbiz.de/10005697627

Paradigms of Intelligent Systems

ANDRISESCU, Dana Ramona - In: Informatica Economica XI (2007) 2, pp. 90-94

systems, intelligent systems based on genetic algorithms, artificial neuronal systems, fuzzy systems, hybrid intelligent …

Persistent link: https://www.econbiz.de/10009416318

Improving Organizations by Replacing the "Mechanical" Model with the "Organic" one

MOLDOVEANU, George; ROSCA, Ion Gh.; PLETER, Octavian Thor - In: Informatica Economica XI (2007) 2, pp. 5-12

", organizational pathology and organizational optimization using genetic algorithms. In competitive markets, organizations are in a … gradient optimization methods, the genetic algorithms may be applied to such problems with thousands of degrees of freedom …. This opens the way to the organizational structure optimization through genetic algorithms. …

Persistent link: https://www.econbiz.de/10009416638