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CEC
2009
IEEE
13 years 9 months ago
Memetic algorithm with Local search chaining for large scale continuous optimization problems
Abstract— Memetic algorithms arise as very effective algorithms to obtain reliable and high accurate solutions for complex continuous optimization problems. Nowadays, high dimens...
Daniel Molina, Manuel Lozano, Francisco Herrera
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
13 years 10 months ago
Solving large scale combinatorial optimization using PMA-SLS
Memetic algorithms have become to gain increasingly important for solving large scale combinatorial optimization problems. Typically, the extent of the application of local search...
Jing Tang, Meng-Hiot Lim, Yew-Soon Ong, Meng Joo E...
EC
2010
157views ECommerce» more  EC 2010»
13 years 4 months ago
Memetic Algorithms for Continuous Optimisation Based on Local Search Chains
Memetic algorithms with continuous local search methods have arisen as effective tools to address the difficulty of obtaining reliable solutions of high precision for complex cont...
Daniel Molina, Manuel Lozano, Carlos García...
MEMETIC
2010
311views more  MEMETIC 2010»
12 years 11 months ago
Iterated local search with Powell's method: a memetic algorithm for continuous global optimization
In combinatorial solution spaces Iterated Local Search (ILS) turns out to be exceptionally successful. The question arises: is ILS also capable of improving the optimization proces...
Oliver Kramer
GECCO
2006
Springer
174views Optimization» more  GECCO 2006»
13 years 8 months ago
On the analysis of the (1+1) memetic algorithm
Memetic algorithms are evolutionary algorithms incorporating local search to increase exploitation. This hybridization has been fruitful in countless applications. However, theory...
Dirk Sudholt