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GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
13 years 10 months ago
Greedy, genetic, and greedy genetic algorithms for the quadratic knapsack problem
Augmenting an evolutionary algorithm with knowledge of its target problem can yield a more effective algorithm, as this presentation illustrates. The Quadratic Knapsack Problem e...
Bryant A. Julstrom
GECCO
2006
Springer
163views Optimization» more  GECCO 2006»
13 years 8 months ago
The quadratic multiple knapsack problem and three heuristic approaches to it
The quadratic multiple knapsack problem extends the quadratic knapsack problem with K knapsacks, each with its own capacity Ck. A greedy heuristic fills the knapsacks one at a tim...
Amanda Hiley, Bryant A. Julstrom
COR
2000
112views more  COR 2000»
13 years 4 months ago
A greedy genetic algorithm for the quadratic assignment problem
Ravindra K. Ahuja, James B. Orlin, Ashish Tiwari
GECCO
2009
Springer
13 years 8 months ago
Evolving heuristically difficult instances of combinatorial problems
When evaluating a heuristic for a combinatorial problem, randomly generated instances of the problem may not provide a thorough exploration of the heuristic's performance, an...
Bryant A. Julstrom
ICNC
2009
Springer
13 years 11 months ago
An Improved Greedy Genetic Algorithm for Solving Travelling Salesman Problem
—Genetic algorithm (GA) is too dependent on the initial population and a lack of local search ability. In this paper, an improved greedy genetic algorithm (IGAA) is proposed to o...
Zhenchao Wang, Haibin Duan, Xiangyin Zhang