99 search results - page 3 / 20 » Evolving Crossover Operators for Function Optimization |
ISICA
2007
Springer
14 years 1 months ago
2007
Springer
The standard Particle Swarm Optimization (PSO) algorithm is a novel evolutionary algorithm in which each particle studies its own previous best solution and the group’s previous ...
GECCO
2005
Springer
14 years 29 days ago
2005
Springer
Abstract. In this paper we propose a novel hybrid (GA/PSO) algorithm, Breeding Swarm, combining the strengths of particle swarm optimization with genetic algorithms. The hybrid alg...
RAID
2009
Springer
14 years 2 months ago
2009
Springer
In this paper, we leverage the concepts of formal grammar and genetic operators to evolve malware. As a case study, we take COM infectors and design their formal grammar with produ...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
The choice of an appropriate hardware representation model is key to successful evolution of digital circuits. One of the most popular models is cartesian genetic programming, whi...
ICGA
1993
13 years 8 months ago
1993
The dynamic behavior of mutation and crossover is investigated with the Breeder Genetic Algorithm. The main emphasis is on binary functions. The genetic operators are compared nea...