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» Combining genetic algorithms with squeaky-wheel optimization
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GECCO
2000
Springer
170views Optimization» more  GECCO 2000»
13 years 11 months ago
A Comparison of Genetic Algorithms for the Dynamic Job Shop Scheduling Problem
The majority of the research using evolutionary algorithms for the Job Shop Scheduling Problem (JSSP) has studied only the static JSSP. Few evolutionary algorithms have been appli...
Manuel Vázquez, L. Darrell Whitley
GECCO
1999
Springer
13 years 12 months ago
Terrain-Based Genetic Algorithm (TBGA): Modeling Parameter Space as Terrain
The Terrain-Based Genetic Algorithm (TBGA) is a self-tuning version of the traditional Cellular Genetic Algorithm (CGA). In a TBGA, various combinations of parameter values appear...
V. Scott Gordon, Rebecca Pirie, Adam Wachter, Scot...
EOR
2006
125views more  EOR 2006»
13 years 7 months ago
A genetic algorithm for robotic assembly line balancing
Flexibility and automation in assembly lines can be achieved by the use of robots. The robotic assembly line balancing (RALB) problem is defined for robotic assembly line, where d...
Gregory Levitin, Jacob Rubinovitz, Boris Shnits
EOR
2006
118views more  EOR 2006»
13 years 7 months ago
A random-key genetic algorithm for the generalized traveling salesman problem
The Generalized Traveling Salesman Problem is a variation of the well known Traveling Salesman Problem in which the set of nodes is divided into clusters; the objective is to find...
Lawrence V. Snyder, Mark S. Daskin
GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
13 years 11 months ago
Combining simplex with niche-based evolutionary computation for job-shop scheduling
We propose a hybrid algorithm (called ALPINE) between Genetic Algorithm and Dantzig's Simplex method to approximate optimal solutions for the Flexible Job-Shop Problem. Local...
Syhlin Kuah, Joc Cing Tay