Sciweavers

261 search results - page 5 / 53
» A Multiobjective Frontier Search Algorithm
Sort
View
AAAI
1993
13 years 8 months ago
Finding Accurate Frontiers: A Knowledge-Intensive Approach to Relational Learning
learning (EBL) component. In this paper we provide a brief review of FOIL and FOCL, then discuss how operationalizing a domain theory can adversely affect the accuracy of a learned...
Michael J. Pazzani, Clifford Brunk
CEC
2009
IEEE
14 years 2 months ago
Plateau Connection Structure and multiobjective metaheuristic performance
—This paper proposes the plateau structure imposed by the Pareto dominance relation as a useful determinant of multiobjective metaheuristic performance. In essence, the dominance...
Deon Garrett
CEC
2010
IEEE
13 years 4 months ago
A hybrid multi-objective extremal optimisation approach for multi-objective combinatorial optimisation problems
Extremal optimisation (EO) is a relatively recent nature-inspired heuristic whose search method is especially suitable to solve combinatorial optimisation problems. To date, most o...
Pedro Gómez-Meneses, Marcus Randall, Andrew...
TCIAIG
2010
13 years 2 months ago
Current Frontiers in Computer Go
This paper presents the recent technical advances in Monte-Carlo Tree Search for the Game of Go, shows the many similarities and the rare differences between the current best progr...
Arpad Rimmel, Olivier Teytaud, Chang-Shing Lee, Sh...
GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
13 years 8 months ago
Multiobjective robustness for portfolio optimization in volatile environments
Multiobjective methods are ideal for evolving a set of portfolio optimisation solutions that span a range from highreturn/high-risk to low-return/low-risk, and an investor can cho...
Ghada Hassan, Christopher D. Clack