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» Nature inspired genetic algorithms for hard packing problems
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ANOR
2010
123views more  ANOR 2010»
9 years 2 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
189views Optimization» more  GECCO 2007»
9 years 6 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
ISDA
2008
IEEE
9 years 8 months ago
Optimal Tuning of PI Speed Controller Using Nature Inspired Heuristics
This paper presents a comparative study of three popular, Evolutionary Algorithms (EA); Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Differential Evolution (DE) ...
Millie Pant, Radha Thangaraj, Ajith Abraham
GECCO
2009
Springer
144views Optimization» more  GECCO 2009»
9 years 9 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
2003
Springer
9 years 7 months ago
A Kernighan-Lin Local Improvement Heuristic That Solves Some Hard Problems in Genetic Algorithms
We present a Kernighan-Lin style local improvement heuristic for genetic algorithms. We analyze the run-time cost of the heuristic. We demonstrate through experiments that the heur...
William A. Greene
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