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GECCO
2004
Springer
109views Optimization» more  GECCO 2004»
13 years 11 months ago
Development of a Genetic Algorithm for Optimization of Nanoalloys
A genetic algorithm has been developed in order to find the global minimum of platinum-palladium nanoalloy clusters. The effect of biasing the initial population and predating sp...
Lesley D. Lloyd, Roy L. Johnston, Said Salhi
GECCO
2004
Springer
123views Optimization» more  GECCO 2004»
13 years 11 months ago
A Hybrid Genetic Approach for Circuit Bipartitioning
We propose a hybrid genetic algorithm for partitioning a VLSI circuit graph into two disjoint graphs of minimum cut size. The algorithm includes a local optimization heuristic whic...
Jong-Pil Kim, Yong-Hyuk Kim, Byung Ro Moon
GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
13 years 11 months ago
Central Point Crossover for Neuro-genetic Hybrids
In this paper, we consider each neural network as a point in a multi-dimensional problem space and suggest a crossover that locates the central point of a number of neural networks...
Soonchul Jung, Byung Ro Moon
GECCO
2004
Springer
13 years 11 months ago
A Systematic Study of Genetic Algorithms with Genotype Editing
Abstract. This paper continues our systematic study of an RNAediting computational model of Genetic Algorithms (GA). This model is constructed based on several genetic editing char...
Chien-Feng Huang, Luis Mateus Rocha
GECCO
2004
Springer
128views Optimization» more  GECCO 2004»
13 years 11 months ago
An Informed Operator Based Genetic Algorithm for Tuning the Reaction Rate Parameters of Chemical Kinetics Mechanisms
A reduced model technique based on a reduced number of numerical simulations at a subset of operating conditions for a perfectly stirred reactor is developed in order to increase t...
Lionel Elliott, Derek B. Ingham, Adrian G. Kyne, N...
GECCO
2004
Springer
143views Optimization» more  GECCO 2004»
13 years 11 months ago
Efficient Clustering-Based Genetic Algorithms in Chemical Kinetic Modelling
Two efficient clustering-based genetic algorithms are developed for the optimisation of reaction rate parameters in chemical kinetic modelling. The genetic algorithms employed are ...
Lionel Elliott, Derek B. Ingham, Adrian G. Kyne, N...
GECCO
2004
Springer
13 years 11 months ago
Introducing Subchromosome Representations to the Linkage Learning Genetic Algorithm
This paper introduces subchromosome representations to the linkage learning genetic algorithm (LLGA). The subchromosome representation is utilized for effectively lowering the num...
Ying-Ping Chen, David E. Goldberg
GECCO
2004
Springer
105views Optimization» more  GECCO 2004»
13 years 11 months ago
An Enhanced Genetic Algorithm for DNA Sequencing by Hybridization with Positive and Negative Errors
Abstract. This paper describes a genetic algorithm for the DNA sequencing problem. The algorithm allows the input spectrum to contain both positive and negative errors as could be ...
Thang Nguyen Bui, Waleed A. Youssef
CIARP
2004
Springer
13 years 11 months ago
Pattern Recognition via Vasconcelos' Genetic Algorithm
In this paper we describe a heuristic approach to the problem of identifying a pattern embedded within a figure from a predefined set of patterns via the utilization of a genetic a...
Angel Fernando Kuri Morales
SAC
2004
ACM
13 years 11 months ago
An improved hybrid genetic algorithm for the generalized assignment problem
We consider the generalized assignment problem in which the objective is to find a minimum cost assignment of a set of jobs to a set of agents subject to resource constraints. Th...
Harald Feltl, Günther R. Raidl