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IMECS
2007
13 years 6 months ago
Genetic Algorithms for the Nesting Problem in the Packing Industry
— The problem of parts nesting in plane areas is found in several industries, with restrictions and different objectives. Among these industries having this process they are pack...
Roberto Selow, Flavio Neves Junior, Heitor S. Lope...
ANOR
2010
123views more  ANOR 2010»
13 years 4 months ago
Nature inspired genetic algorithms for hard packing problems
This paper presents two novel genetic algorithms (GAs) for hard industrially relevant packing problems. The design of both algorithms is inspired by aspects of molecular genetics,...
Philipp Rohlfshagen, John A. Bullinaria
GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
13 years 11 months ago
Genetically designed heuristics for the bin packing problem
The bin packing problem (BPP) is a real-world problem that arises in different industrial applications related to minimization of space or time. The aim of this research is to au...
Oana Muntean
GECCO
2009
Springer
144views Optimization» more  GECCO 2009»
13 years 11 months ago
A hybrid genetic algorithm for a variant of two-dimensional packing problem
A variant of two-dimensional packing problem was given in the GECCO’2008 competition. This paper describes the genetic algorithm that produced the best result and thus won the N...
Jin Kim, Byung Ro Moon
GECCO
2007
Springer
189views Optimization» more  GECCO 2007»
13 years 8 months ago
A genetic algorithm with exon shuffling crossover for hard bin packing problems
A novel evolutionary approach for the bin packing problem (BPP) is presented. A simple steady-state genetic algorithm is developed that produces results comparable to other approa...
Philipp Rohlfshagen, John A. Bullinaria