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» Introduction to genetic algorithms
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CEC
2010
IEEE
15 years 3 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
108
Voted
GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
15 years 3 months ago
Multi-resistant radar jamming using genetic algorithms
The next generation of advanced self-protection jammers is expected to deliver effective and energy efficient jamming against modern air tracking radars. However, optimizing such ...
Hans Jonas Fossum Moen, Stein Kristoffersen
EOR
2006
125views more  EOR 2006»
15 years 1 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
IJON
2006
131views more  IJON 2006»
15 years 1 months ago
Optimizing blind source separation with guided genetic algorithms
This paper proposes a novel method for blindly separating unobservable independent component (IC) signals based on the use of a genetic algorithm. It is intended for its applicati...
J. M. Górriz, Carlos García Puntonet...
JCM
2006
144views more  JCM 2006»
15 years 1 months ago
Using Micro-Genetic Algorithms to Improve Localization in Wireless Sensor Networks
Wireless sensor networks are widely adopted in many location-sensitive applications including disaster management, environmental monitoring, military applications where the precise...
Vincent Tam, King-Yip Cheng, King-Shan Lui