CEC
2009
IEEE
14 years 6 months ago
2009
IEEE
— Hyper-heuristics or “heuristics to chose heuristics” are an emergent search methodology that seeks to automate the process of selecting or combining simpler heuristics in o...
CEC
2009
IEEE
14 years 6 months ago
2009
IEEE
—Structure learning is a crucial component of a multivariate Estimation of Distribution algorithm. It is the part which determines the interactions between variables in the proba...
CEC
2009
IEEE
14 years 6 months ago
2009
IEEE
Abstract— Peer-to-peer based distributed computing environments can be expected to be dynamic to greater of lesser degree. While node losses will not usually lead to catastrophic...
CEC
2009
IEEE
14 years 6 months ago
2009
IEEE
—This paper presents the evolutionary programming with an ensemble of memories to deal with optimization problems in dynamic environments. The proposed algorithm modifies a recen...
CEC
2009
IEEE
14 years 6 months ago
2009
IEEE
— In this paper, a revised form of Implicit Context Representation Cartesian Genetic Programming is used in the development of a diagnostic tool for the assessment of patients wi...
CEC
2009
IEEE
14 years 6 months ago
2009
IEEE
Abstract— In this paper we investigate a Self-Adaptive Differential Evolution algorithm (jDE) where F and CR control parameters are self-adapted and a multi-population method wit...
CEC
2009
IEEE
14 years 6 months ago
2009
IEEE
—This paper describes the idea of MOEA/D and proposes a strategy for allocating the computational resource to different subproblems in MOEA/D. The new version of MOEA/D has been ...
CEC
2009
IEEE
14 years 6 months ago
2009
IEEE
CEC
2009
IEEE
14 years 6 months ago
2009
IEEE
— The paper proposes a hypernetwork-based method for stock market prediction through a binary time series problem. Hypernetworks are a random hypergraph structure of higher-order...
CEC
2009
IEEE
14 years 6 months ago
2009
IEEE
— Parameter setting is an important issue in the design of evolutionary algorithms. Recently, experimental work has pointed out that it is often not useful to work with a fixed ...