Search Results - subject:"Genetic Algorithm"

Water Supply Reservoir Operation by Combined Genetic Algorithm – Linear Programming (GA-LP) Approach

Reis, L.; Bessler, F.; Walters, G.; Savic, D. - In: Water Resources Management 20 (2006) 2, pp. 227-255

applies a hybrid method using genetic algorithm (GA) and linear programming (LP) developed by the authors to determine …

Persistent link: https://www.econbiz.de/10010794774

Honey-Bees Mating Optimization (HBMO) Algorithm: A New Heuristic Approach for Water Resources Optimization

Haddad, Omid; Afshar, Abbas; Mariño, Miguel - In: Water Resources Management 20 (2006) 5, pp. 661-680

performance of the algorithm is quite comparable with the results of the well-developed genetic algorithm. The HBMO algorithm is …

Persistent link: https://www.econbiz.de/10010998079

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

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

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

Genetically Optimised Artificial Neural Network for Financial Time Series Data Mining

Hayward, Serge - Society for Computational Economics - SCE - 2006

mechanism understanding. Genetic algorithm is proposed to be used for model discovery, making technical decisions less arbitrary …

Persistent link: https://www.econbiz.de/10005706227

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

The Multifactor Nature of the Volatility of Futures Markets

Chiarella, Carl; Tô, Thuy-Duong - In: Computational Economics 27 (2006) 2, pp. 163-183

Persistent link: https://www.econbiz.de/10005701691

Improving Portfolio Efficiency: A Genetic Algorithm Approach

Yang, Xiaolou - In: Computational Economics 28 (2006) 1, pp. 1-14

Persistent link: https://www.econbiz.de/10005701772