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» Optgen: A Generator for Local Optimizations
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ICNC
2009
Springer
15 years 4 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
GECCO
2007
Springer
196views Optimization» more  GECCO 2007»
15 years 4 months ago
An estimation of distribution algorithm with guided mutation for a complex flow shop scheduling problem
An Estimation of Distribution Algorithm (EDA) is proposed to approach the Hybrid Flow Shop with Sequence Dependent Setup Times and Uniform Machines in parallel (HFSSDST-UM) proble...
Abdellah Salhi, José Antonio Vázquez...
GECCO
2007
Springer
326views Optimization» more  GECCO 2007»
15 years 4 months ago
Binary differential evolution for the unit commitment problem
The Unit Commitment Problem (UCP) is the task of finding an optimal turn on and turn off schedule for a group of power generation units over a given time horizon to minimize ope...
Ali Keles
EVOW
2009
Springer
15 years 2 months ago
Finding Balanced Incomplete Block Designs with Metaheuristics
This paper deals with the generation of balanced incomplete block designs (BIBD), a hard constrained combinatorial problem with multiple applications. This problem is here formulat...
David Rodríguez Rueda, Carlos Cotta, Antoni...
TNN
1998
76views more  TNN 1998»
14 years 9 months ago
Multiobjective genetic algorithm partitioning for hierarchical learning of high-dimensional pattern spaces: a learning-follows-d
— In this paper, we present a novel approach to partitioning pattern spaces using a multiobjective genetic algorithm for identifying (near-)optimal subspaces for hierarchical lea...
Rajeev Kumar, Peter Rockett