Results 321 to 330 of about 7,762,731 (372)

Predictive Models for the Breeder Genetic Algorithm I. Continuous Parameter Optimization

Evolutionary Computation, 1993
In this paper a new genetic algorithm called the Breeder Genetic Algorithm (BGA) is introduced. The BGA is based on artificial selection similar to that used by human breeders. A predictive model for the BGA is presented that is derived from quantitative
H. Mühlenbein, Dirk Schlierkamp-Voosen
semanticscholar   +1 more source

Genetic algorithms

Proceedings of the international conference on APL '91, 1991
Genetic algorithms, invented by J. H. Holland, emulate biological evolution in the computer and try to build programs that can adapt by themselves to perform a given function. In some sense, they are analogous to neural networks, but there are important differences between them.
openaire   +2 more sources

A GENETIC ALGORITHM ANALYSIS TOWARDS OPTIMIZATION SOLUTIONS

, 2014
In today’s world, an optimal and intelligent problem solving approaches are required in every field, regardless of simple or complex problems. Researches and developers are trying to make machines and software's more efficient and intelligent.
M. Tabassum, Kuruvilla Mathew
semanticscholar   +1 more source

Isomorphisms of genetic algorithms

Artificial Intelligence, 1991
Abstract We begin with the premise that the role of Holland schemata in directing genetic search should be granted both as a matter of empirical fact and as a natural consequence of the Schema Theorem. From this we conclude that schemata more general than Holland's can also be made to direct genetic search, and that a duality exists between problem ...
David L. Battle, Michael D. Vose
openaire   +3 more sources

An Efficient Genetic Algorithm for Maximum Coverage Deployment in Wireless Sensor Networks

IEEE Transactions on Cybernetics, 2013
Sensor networks have a lot of applications such as battlefield surveillance, environmental monitoring, and industrial diagnostics. Coverage is one of the most important performance metrics for sensor networks since it reflects how well a sensor field is ...
Yourim Yoon, Yong-Hyuk Kim
semanticscholar   +1 more source

Genetic Algorithms

2008
The methods in this chapter were developed in response to the need for general purpose methods for solving complex optimisation problems. A classical problem addressed is the Travelling Salesman Problem in which a salesman must visit each of n cities once and only once in an optimum order - that which minimises his travelling.
Darryl Charles, Colin Fyfe, Daniel Livingstone, Stephen McGlinchey   +3 more
openaire   +1 more source

Genetic Algorithms-a Tool for OR? [PDF]

Journal of the Operational Research Society, 1996
Compared with other metaheuristic techniques such as simulated annealing and tabu search, research into the use of genetic algorithms for the solution of OR problems is still in its infancy. This paper provides an introduction to genetic algorithms and their use in the solution of both classical and practical operational research problems, identifies ...
openaire   +1 more source

A COMPARISON OF PARTICLE SWARM OPTIMIZATION AND THE GENETIC ALGORITHM

, 2005
Particle Swarm Optimization (PSO) is a relatively recent heuristic search method whose mechanics are inspired by the swarming or collaborative behavior of biological populations.
R. Hassan, B. Cohanim, O. Weck, G. Venter   +3 more
semanticscholar   +1 more source

Genetic Algorithm for Energy-Efficient QoS Multicast Routing

IEEE Communications Letters, 2013
The consideration of energy consumption in wireless ad hoc networks prevents the problem of the network exhausting batteries, thus partitioning the entire network. Power-aware multicasting is proposed to reduce the power consumption. This letter presents
Ting Lu, Jie Zhu
semanticscholar   +1 more source

Genetic algorithms and scheduling. [PDF]

, 2008
International ...
Portmann, Marie-Claude, Vignier, Antony
openaire   +4 more sources