CEC
2005
IEEE
14 years 5 months ago
2005
IEEE
Abstract- In this paper we address the problem of finding valid solutions for the problem of inferring gene regulatory networks. Different approaches to directly infer the depende...
CEC
2005
IEEE
14 years 5 months ago
2005
IEEE
AbstractEvolutionary Algorithms (EAs) have been used to achieve optimal feedforward control in a number of fedbatch fermentation processes. Typically, the optimization purpose is t...
CEC
2005
IEEE
14 years 5 months ago
2005
IEEE
Abstract- Behavior based architectures have many parameters that must be tuned to produce effective and believable agents. We use genetic algorithms to tune simple behavior based c...
CEC
2005
IEEE
14 years 5 months ago
2005
IEEE
Abstract- The large majority of existing clustering algorithms are centered around the notion of a feature, that is, individual data items are represented by their intrinsic proper...
CEC
2005
IEEE
14 years 5 months ago
2005
IEEE
Evolutionary Computation has demonstrated the ability to design novel and interesting objects. Such objects are increasingly being assembled in the physical world, albeit with some...
CEC
2005
IEEE
14 years 5 months ago
2005
IEEE
Abstract- Particle Swarm Optimization (PSO) has successfully been applied to many optimization problems. One particularly interesting aspect of these algorithms is to study the com...
CEC
2005
IEEE
14 years 5 months ago
2005
IEEE
Energy minimization algorithms for bio-molecular systems are critical to applications such as the prediction of protein folding. Conventional energy minimization methods such as th...
CEC
2005
IEEE
14 years 5 months ago
2005
IEEE
AbstractThis paper describes the evolution of controllers for racing a simulated radio-controlled car around a track, modelled on a real physical track. Five different controller a...
CEC
2005
IEEE
14 years 5 months ago
2005
IEEE
A new radii-based evolutionary algorithm (EA) designed for multimodal optimization problems is proposed. The approach can be placed within the genetic chromodynamics framework and ...
CEC
2005
IEEE
14 years 5 months ago
2005
IEEE
It is well known that incremental learning can often be difficult for traditional neural network systems, due to newly learned information interfering with previously learned infor...