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GECCO
2009
Springer
172views Optimization» more  GECCO 2009»
15 years 9 months ago
Comparison of similarity measures for the multi-objective vehicle routing problem with time windows
The Vehicle Routing Problem can be seen as a fusion of two well known combinatorial problems, the Travelling Salesman Problem and Bin Packing Problem. It has several variants, the...
Abel Garcia-Najera, John A. Bullinaria
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 10 months ago
An analysis of the effects of population structure on scalable multiobjective optimization problems
Multiobjective evolutionary algorithms (MOEA) are an effective tool for solving search and optimization problems containing several incommensurable and possibly conflicting objec...
Michael Kirley, Robert L. Stewart
SMC
2010
IEEE
276views Control Systems» more  SMC 2010»
15 years 2 months ago
A Modified Invasive Weed Optimization Algorithm for training of feed- forward Neural Networks
— Invasive Weed Optimization Algorithm IWO) is an ecologically inspired metaheuristic that mimics the process of weeds colonization and distribution and is capable of solving mul...
Ritwik Giri, Aritra Chowdhury, Arnob Ghosh, Swagat...
BROADNETS
2006
IEEE
15 years 8 months ago
Spare Capacity Provisioning for Dynamic Traffic Grooming in Optical Networks
Abstract-- Optical Networks with wavelength routing are expected to form the backbone in the next generation wide area networks. The traffic grooming problem in optical networks is...
Shu Huang, Rudra Dutta
GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
15 years 5 months ago
A multi-start quantum-inspired evolutionary algorithm for solving combinatorial optimization problems
Quantum-inspired evolutionary algorithms (QIEAs), as a subset of evolutionary computation, are based on the principles of quantum computing such as quantum bits and quantum superp...
Parvaz Mahdabi, Saeed Jalili, Mahdi Abadi