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GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
13 years 11 months ago
A new multi-objective evolutionary algorithm for solving high complex multi-objective problems
Kangshun Li, Xuezhi Yue, Lishan Kang, Zhangxin Che...
GECCO
2004
Springer
14 years 1 months ago
Towards a Generally Applicable Self-Adapting Hybridization of Evolutionary Algorithms
When applied to real-world problems, the powerful optimization tool of Evolutionary Algorithms frequently turns out to be too time-consuming due to elaborate fitness calculations t...
Wilfried Jakob, Christian Blume, Georg Bretthauer
EVOW
2007
Springer
14 years 1 months ago
Combining Lagrangian Decomposition with an Evolutionary Algorithm for the Knapsack Constrained Maximum Spanning Tree Problem
We present a Lagrangian decomposition approach for the Knapsack Constrained Maximum Spanning Tree problem yielding upper bounds as well as heuristic solutions. This method is furth...
Sandro Pirkwieser, Günther R. Raidl, Jakob Pu...
HIS
2007
13 years 9 months ago
New Particle Swarm Optimization Algorithm Incorporating Reproduction Operator for Solving Global Optimization Problems
This paper presents a new variant of Basic Particle Swarm Optimization (BPSO) algorithm named QI-PSO for solving global optimization problems. The QI-PSO algorithm makes use of a ...
Millie Pant, Radha Thangaraj, Ajith Abraham
EMO
2009
Springer
190views Optimization» more  EMO 2009»
14 years 2 months ago
Solving Bilevel Multi-Objective Optimization Problems Using Evolutionary Algorithms
Abstract. Bilevel optimization problems require every feasible upperlevel solution to satisfy optimality of a lower-level optimization problem. These problems commonly appear in ma...
Kalyanmoy Deb, Ankur Sinha