EUSFLAT
2007
13 years 6 months ago
2007
In many regression learning algorithms for fuzzy rule bases it is not possible to define the error measure to be optimized freely. A possible alternative is the usage of global o...
EVOW
2008
Springer
13 years 6 months ago
2008
Springer
Abstract. In this paper we propose three small instances of a reconfigurable circuit and analyze their properties using the brute force method and evolutionary algorithm. Although ...
AUSAI
2005
Springer
13 years 7 months ago
2005
Springer
Abstract. Methods of adaptive constraint satisfaction have recently become of interest to overcome the limitations imposed on “black-box” search algorithms by the no free lunch...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
In this work the performance of several local search and metaheuristic methods is compared to previously reported work using evolutionary algorithms. The results show that while m...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
This paper presents an evolutionary algorithm to develop cooperative strategies for power buyers in a deregulated electrical power market. Cooperative strategies are evolved throu...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
The generic Multi-objective Evolutionary Algorithm (MOEA) aims to produce Pareto-front approximations with good convergence and diversity property. To achieve convergence, most mu...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...
EVOW
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. We introduce a novel representation for the graph colouring problem, called the Integer Merge Model, which aims to reduce the time complexity of an algorithm. Moreover, o...
HM
2007
Springer
13 years 9 months ago
2007
Springer
Abstract. We discuss a general approach to hybridize traditional construction heuristics for combinatorial optimization problems with numerical based evolutionary algorithms. There...
GECCO
2007
Springer
13 years 9 months ago
2007
Springer
Studying metabolic fluxes is a crucial aspect of understanding biological phenotypes. However, it is often not possible to measure these fluxes directly. As an alternative, fluxom...