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CEC
2010
IEEE
13 years 5 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...
WEA
2004
Springer
129views Algorithms» more  WEA 2004»
14 years 1 months ago
Experimental Comparison of Greedy Randomized Adaptive Search Procedures for the Maximum Diversity Problem
Abstract. The maximum diversity problem (MDP) consists of identifying optimally diverse subsets of elements from some larger collection. The selection of elements is based on the d...
Geiza C. Silva, Luiz Satoru Ochi, Simone L. Martin...
GECCO
2000
Springer
113views Optimization» more  GECCO 2000»
13 years 11 months ago
The Effects of Locality on the Dynamics of Decoder-Based Evolutionary Search
The success of decoder-based evolutionary algorithms (EAs) strongly depends on the achieved locality of operators and decoders. Most approaches to investigate locality properties ...
Jens Gottlieb, Günther R. Raidl
INFORMATICALT
2006
110views more  INFORMATICALT 2006»
13 years 7 months ago
Iterated Tabu Search for the Unconstrained Binary Quadratic Optimization Problem
Given a set of objects with profits (any, even negative, numbers) assigned not only to separate objects but also to pairs of them, the unconstrained binary quadratic optimization p...
Gintaras Palubeckis
GECCO
2011
Springer
374views Optimization» more  GECCO 2011»
12 years 11 months ago
A hybrid heuristic approach for solving the generalized traveling salesman problem
The generalized traveling salesman problem (GTSP) is an NPhard problem that extends the classical traveling salesman problem by partitioning the nodes into clusters and looking fo...
Petrica C. Pop, Serban Iordache