Search Results - subject:"Genetic Algorithm"

COMPARISON OF SCHEDULING EFFICIENCY IN TWO/THREE-MACHINE NO-WAIT FLOW SHOP PROBLEM USING SIMULATED ANNEALING AND GENETIC ALGORITHM

WANG, TAI-YUE; YANG, YIH-HWANG; LIN, HERN-JIANG - In: Asia-Pacific Journal of Operational Research (APJOR) 23 (2006) 01, pp. 41-59

the NP-hard problem nature, this scheduling problem is solved by using a Simulated Annealing (SA) and Genetic Algorithm …

Persistent link: https://www.econbiz.de/10005050688

A HYBRID HEURISTIC FOR THE MINIMUM WEIGHT VERTEX COVER PROBLEM

SINGH, ALOK; GUPTA, ASHOK KUMAR - In: Asia-Pacific Journal of Operational Research (APJOR) 23 (2006) 02, pp. 273-285

subset. In this paper, we propose a hybrid approach, combining a steady-state genetic algorithm and a greedy heuristic, for … the minimum weight vertex cover problem. The genetic algorithm generates vertex cover, which is then reduced to minimal …

Persistent link: https://www.econbiz.de/10005050708

Learning rules for optimal selection in a varying environment: mate choice revisited

Collins, Edmund J.; McNamara, John M.; Ramsey, David M. - In: Behavioral Ecology 17 (2006) 5, pp. 799-809

The quality of a chosen partner can be one of the most significant factors affecting an animal's long-term reproductive success. We investigate optimal mate choice rules in an environment where there is both local variation in the quality of potential mates within each local mating pool and...

Persistent link: https://www.econbiz.de/10008581434

Representing Uncertainty about Response Paths: the Use of Heuristic Optimisation Methods

Staszewska, Anna - Society for Computational Economics - SCE - 2006

In impulse response analysis the construction of intervals for the response at a particular time is a familiar topic. This paper considers the construction of confidence bands for the path of reponses. It investigates the feasibility of procedures based on heuristic optimisation methods for...

Persistent link: https://www.econbiz.de/10005342862

A genetic algorithm approach to developing the multi-echelon reverse logistics network for product returns

Min, Hokey; Jeung Ko, Hyun; Seong Ko, Chang - In: Omega 34 (2006) 1, pp. 56-69

mixed-integer programming model and a genetic algorithm that can solve the reverse logistics problem involving product …

Persistent link: https://www.econbiz.de/10005358542

EVOLVING INDUCTIVE GENERALIZATION VIA GENETIC SELF-ASSEMBLY

FÜCHSLIN, RUDOLF M.; MAEKE, THOMAS; TANGEN, UWE; … - In: Advances in Complex Systems (ACS) 09 (2006) 01, pp. 1-29

We propose that genetic encoding of self-assembling components greatly enhances the evolution of complex systems and provides an efficient platform for inductive generalization, i.e. the inductive derivation of a solution to a problem with a potentially infinite number of instances from a...

Persistent link: https://www.econbiz.de/10005080950

A Genetic Algorithm for UPM/LPM Portfolios

Moreno, David; Nawrocki, David; Olmeda, Ignacio - Society for Computational Economics - SCE - 2006

(genetic algorithm) to achieve our goal. We find that, in general, the UPM-LPM portfolio optimization beats the classical mean …

Persistent link: https://www.econbiz.de/10005132609

The behavior of the exchange rate in the genetic algorithm with agents having long memory

Xu, Yiping - In: Journal of Evolutionary Economics 16 (2006) 3, pp. 279-297

Persistent link: https://www.econbiz.de/10005760517

Genetic algorithms for the selection of smoothing parameters in additive models

Krause, Rüdiger; Tutz, Gerhard - In: Computational Statistics 21 (2006) 1, pp. 9-31

Persistent link: https://www.econbiz.de/10005613152

Selection of funding schemes by a borrowing decision model: a Hong Kong case study

Tang, C. M.; Wong, C. W. Y.; Leung, A. Y. T.; Lam, K. C. - In: Construction Management and Economics 24 (2006) 4, pp. 349-365

construction loan acquisition model is solved by an adaptive genetic algorithm (AGA) approach. The basic objectives of the model …

Persistent link: https://www.econbiz.de/10005438600