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» A Multiobjective Frontier Search Algorithm
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AAAI
1993
15 years 5 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
15 years 10 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
15 years 1 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
14 years 10 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»
15 years 5 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