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» Guided Operators for a Hyper-Heuristic Genetic Algorithm
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JNW
2006
88views more  JNW 2006»
13 years 5 months ago
A Genetic Algorithms Based Approach for Group Multicast Routing
Whereas multicast transmission in one-to-many communications allows the operator to drastically save network resources, it also makes the routing of the traffic flows more complex ...
Luca Sanna Randaccio, Luigi Atzori
GECCO
2007
Springer
164views Optimization» more  GECCO 2007»
13 years 11 months ago
Learning building block structure from crossover failure
In the classical binary genetic algorithm, although crossover within a building block (BB) does not always cause a decrease in fitness, any decrease in fitness results from the ...
Zhenhua Li, Erik D. Goodman
AI
1999
Springer
13 years 5 months ago
Learning Action Strategies for Planning Domains
There are many different approaches to solving planning problems, one of which is the use of domain specific control knowledge to help guide a domain independent search algorithm. ...
Roni Khardon
GECCO
2000
Springer
170views Optimization» more  GECCO 2000»
13 years 9 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
CEC
2010
IEEE
13 years 6 months ago
A hybrid genetic algorithm and inver over approach for the travelling salesman problem
This paper proposes a two-phase hybrid approach for the travelling salesman problem (TSP). The first phase is based on a sequence based genetic algorithm (SBGA) with an embedded lo...
Shakeel Arshad, Shengxiang Yang