EUROGP
2001
Springer
14 years 1 months ago
2001
Springer
Abstract. In this paper we continue our study on adaptive genetic programming. We use Stepwise Adaptation of Weights (saw) to boost performance of a genetic programming algorithm o...
EUROGP
2001
Springer
14 years 1 months ago
2001
Springer
An evolutionary algorithm is used to design a finite impulse response digital filter with reduced power consumption. The proposed design approach combines genetic optimization an...
EUROGP
2001
Springer
14 years 1 months ago
2001
Springer
EUROGP
2001
Springer
14 years 1 months ago
2001
Springer
This paper describes how animat-based “food foraging” techniques may be applied to the design of low-level image processing algorithms. First, we show how we implemented the fo...
EUROGP
2001
Springer
14 years 1 months ago
2001
Springer
This work is a study of neutrality in the context of Evolutionary Computation systems. In particular, we introduce the use of explicit neutrality with an integer string coding sche...
EUROGP
2001
Springer
14 years 1 months ago
2001
Springer
Abstract. Types have been introduced to Genetic Programming (GP) by researchers with different motivation. We present the concept of types in GP and introduce a typed GP system, Po...
EMO
2001
Springer
14 years 1 months ago
2001
Springer
Abstract. Topology design of enterprise networks is a hard combinatorial optimization problem. It has numerous constraints, several objectives, and a very noisy solution space. Bes...
EMO
2001
Springer
14 years 1 months ago
2001
Springer
The main objectives of cancer treatment in general, and of cancer chemotherapy in particular, are to eradicate the tumour and to prolong the patient survival time. Traditionally, t...
EMO
2001
Springer
14 years 1 months ago
2001
Springer
Abstract The performance of stochastic optimisers can be assessed experimentally on given problems by performing multiple optimisation runs, and analysing the results. Since an opt...
EMO
2001
Springer
14 years 1 months ago
2001
Springer
When we try to implement a multi-objective genetic algorithm (MOGA) with variable weights for finding a set of Pareto optimal solutions, one difficulty lies in determining appropri...