CEC
2010
IEEE
14 years 1 months ago
2010
IEEE
The field of evolutionary dynamic optimisation is concerned with the application of evolutionary algorithms to dynamic optimisation problems. In recent years, numerous new algorith...
CEC
2010
IEEE
14 years 1 months ago
2010
IEEE
At the current state of the art, genetic programs do not contain two constructs that commonly occur in programs written by humans, that is, loops and functions with parameters. In ...
CEC
2010
IEEE
14 years 1 months ago
2010
IEEE
A new stochastic optimization algorithm referred to by the authors as the `Mean-Variance Optimization' (MVO) algorithm is presented in this paper. MVO falls into the category ...
CEC
2010
IEEE
14 years 1 months ago
2010
IEEE
Even though evolutionary algorithms have been applied to a vast number of problems, they are still not always applicable. As an example, this paper briefly discusses smart applianc...
CEC
2010
IEEE
14 years 1 months ago
2010
IEEE
Abstract-- Reinforcement Programming (RP) is a new approach to automatically generating algorithms, that uses reinforcement learning techniques. This paper describes the RP approac...
CEC
2010
IEEE
14 years 1 months ago
2010
IEEE
Rather than attempting to evolve a complete program from scratch we demonstrate genetic interface programming (GIP) by automatically generating a parallel CUDA kernel with identica...
CEC
2010
IEEE
14 years 1 months ago
2010
IEEE
The evolution of Artificial Intelligence has passed through many phases over the years, going from rigorous mathematical grounding to more intuitive bio-inspired approaches. Despit...
CEC
2010
IEEE
14 years 1 months ago
2010
IEEE
This paper proposes a two-phase hybrid approach for the travelling salesman problem (TSP). The first phase is based on a sequence based genetic algorithm (SBGA) with an embedded lo...
CEC
2010
IEEE
14 years 1 months ago
2010
IEEE
Breeding Abstract Animations in Realtime Tatsuo Unemi SBART was developed in early 1990's as one of the derivatives from Artificial Evolution by Karl Sims. It has a functional...
CEC
2010
IEEE
14 years 1 months ago
2010
IEEE
A hyper-heuristic performs search over a set of other search mechanisms. During the search, it does not require any problem-dependent data. This structure makes hyperheuristics pro...