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EOR
2010
110views more  EOR 2010»
15 years 1 months ago
A hybrid metaheuristic approach to solving the UBQP problem
This paper presents a hybrid metaheuristic approach (HMA) for solving the Unconstrained Binary Quadratic Programming (UBQP) problem. By incorporating a tabu search procedure into ...
Zhipeng Lü, Fred Glover, Jin-Kao Hao
113
Voted
CEC
2010
IEEE
15 years 2 months ago
A parallel framework for multi-objective evolutionary optimization
This work focuses on the development of a parallel framework method to improve the effectiveness and the efficiency of the obtained solutions by Multi-objective Evolutionary Algori...
Dipankar Dasgupta, David Camilo Becerra Romero, Al...
122
Voted
GECCO
2003
Springer
15 years 7 months ago
HEMO: A Sustainable Multi-objective Evolutionary Optimization Framework
The capability of multi-objective evolutionary algorithms (MOEAs) to handle premature convergence is critically important when applied to real-world problems. Their highly multi-mo...
Jianjun Hu, Kisung Seo, Zhun Fan, Ronald C. Rosenb...
CEC
2010
IEEE
14 years 5 months ago
Revisiting Evolutionary Information Filtering
— Adaptive Information Filtering seeks a solution to the problem of information overload through a tailored representation of the user’s interests, called user profile, which ...
Nikolaos Nanas, Stefanos Kodovas, Manolis Vavalis
CEC
2007
IEEE
15 years 8 months ago
Concerning the potential of evolutionary support vector machines
— Within the present paper, we put forward a novel hybridization between support vector machines and evolutionary algorithms. Evolutionary support vector machines consider the cl...
Ruxandra Stoean, Mike Preuss, Catalin Stoean, Dumi...