Search Results - subject:"genetic algorithms"

A genetic algorithm for multi-level, multi-machine lot sizing and scheduling

Kimms, Alf - 1996

This contribution introduces a mixed-integer programming formulation for the multi-level, multi-machine proportional lot sizing and scheduling problem. It also presents a genetic algorithm to solve that problem. The efficiency of that algorithm is due to an encoding of solutions which uses a...

Persistent link: https://www.econbiz.de/10011744774

Methods

Drexl, Andreas; Salewski, Frank - 1996

Persistent link: https://www.econbiz.de/10011806933

Two new robust genetic algorithms for the flowshop scheduling problem

Ruiz, Rubén; Maroto, Concepciøn; Alcaraz, Javier - In: Omega 34 (2006) 5, pp. 461-476

have been proposed. Some authors have concluded that genetic algorithms are not suitable for this hard, combinatorial … problem unless hybridization is used. This work proposes new genetic algorithms for solving the permutation FSP that prove to … against 11 other methods, including genetic algorithms, tabu search, simulated annealing and other advanced and recent …

Persistent link: https://www.econbiz.de/10005452895

SOLVING THE UNCAPACITATED MULTIPLE ALLOCATION p-HUB CENTER PROBLEM BY GENETIC ALGORITHM

KRATICA, JOZEF; STANIMIROVIĆ, ZORICA - In: Asia-Pacific Journal of Operational Research (APJOR) 23 (2006) 04, pp. 425-437

In this paper we describe a genetic algorithm (GA) for the uncapacitated multiple allocation p-hub center problem (UMApHCP). Binary coding is used and genetic operators adapted to the problem are constructed and implemented in our GA. Computational results are presented for the standard hub...

Persistent link: https://www.econbiz.de/10004977560

INNOVATION AND CREATIVITY SUPPORT VIA CHANCE DISCOVERY, GENETIC ALGORITHMS, AND DATA MINING

LLORÀ, XAVIER; GOLDBERG, DAVID E.; OHSAWA, YUKIO; … - In: New Mathematics and Natural Computation (NMNC) 02 (2006) 01, pp. 85-100

Creativity protocols and methodologies tend to be time consuming if applied manually. This paper presents how information technologies can support innovation and creativity for collaborative scenario creation and discussion. The fusion of change discovery, genetics algorithms, data mining, and...

Persistent link: https://www.econbiz.de/10004977617

A performance benchmarking system to support supplier selection

Lau, Henry C.W.; Lee, Carman K.M.; Ho, George T.S.; … - In: International Journal of Business Performance Management 8 (2006) 2/3, pp. 132-151

In today's competitive business environment, management of suppliers is essential for companies to monitor the value chain of the entire production network. Evidence suggests that undesirable occurrences in companies, such as extensive delays in the planned schedule, serious quality problems and...

Persistent link: https://www.econbiz.de/10010816662

A genetic algorithm solution to the design of slat-type shading system

Tsangrassoulis, A.; Bourdakis, V.; Geros, V.; … - In: Renewable Energy 31 (2006) 14, pp. 2321-2328

This article presents a technique for the design of slat-type blinds based on the their relative light intensity distribution under a uniform light source. The technique offers a new approach using a genetic algorithm in order to evolve the design according to a set of parameters.

Persistent link: https://www.econbiz.de/10010805940

Optimal Reservoir Operation Using Multi-Objective Evolutionary Algorithm

Reddy, M.; Kumar, D. - In: Water Resources Management 20 (2006) 6, pp. 861-878

This paper presents a Multi-objective Evolutionary Algorithm (MOEA) to derive a set of optimal operation policies for a multipurpose reservoir system. One of the main goals in multi-objective optimization is to find a set of well distributed optimal solutions along the Pareto front. Classical...

Persistent link: https://www.econbiz.de/10010794330

Ant Colony Optimization for Multi-Purpose Reservoir Operation

Kumar, D.; Reddy, M. - In: Water Resources Management 20 (2006) 6, pp. 879-898

In this paper a metaheuristic technique called Ant Colony Optimization (ACO) is proposed to derive operating policies for a multi-purpose reservoir system. Most of the real world problems often involve non-linear optimization in their solution with high dimensionality and large number of...

Persistent link: https://www.econbiz.de/10010794381

Identification of a hysteresis model parameters with genetic algorithms

Chwastek, Krzysztof; Szczyglowski, Jan - In: Mathematics and Computers in Simulation (MATCOM) 71 (2006) 3, pp. 206-211

The paper is concerned about the application of genetic algorithms to the estimation of magnetic hysteresis model …

Persistent link: https://www.econbiz.de/10011050540