CEC
2007
IEEE
13 years 8 months ago
2007
IEEE
For a mobile robot to move in a known environment and operate successfully, first it needs to robustly determine its initial position and orientation relative to the map, and then ...
CEC
2007
IEEE
2007
IEEE
Optimizing low-thrust gravity assist interplanetary trajectories using evolutionary neurocontrollers
13 years 8 months ago
The combination of low-thrust propulsion and gravity assists allows designing high-energy missions. However the optimization of such trajectories is no trivial task. In this paper,...
CEC
2007
IEEE
13 years 8 months ago
2007
IEEE
We present a novel multi-layered unsupervised learning artifical immune system (MARIA). We have employed vector quantisation to augment MARIA (and Kohonen Networks) to allow for a ...
CEC
2007
IEEE
13 years 8 months ago
2007
IEEE
Abstract-- High-throughput microarrays inform us on different outlooks of the molecular mechanisms underlying the function of cells and organisms. While computational analysis for ...
CEC
2007
IEEE
13 years 8 months ago
2007
IEEE
In this paper, we present an ant system algorithm variant designed to solve the job shop scheduling problem. The proposed approach is based on a recent biological study which showe...
CEC
2007
IEEE
13 years 8 months ago
2007
IEEE
In this paper we derive a simpler form of Particle Swarm Optimiser (PSO) which still retains the key properties of the original model. We do so by progressively altering the origin...
CEC
2007
IEEE
13 years 8 months ago
2007
IEEE
In optimization problems involving large amounts of data, such as web content, commercial transaction information, or bioinformatics data, individual function evaluations may take ...
CEC
2007
IEEE
13 years 8 months ago
2007
IEEE
This paper studies the problems involved in solving, rating and generating Sudoku puzzles with genetic algorithms (GA). Sudoku is a number puzzle that has recently become a worldwi...
CEC
2007
IEEE
13 years 8 months ago
2007
IEEE
CEC
2007
IEEE
13 years 8 months ago
2007
IEEE
Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. The ...