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116
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WABI
2005
Springer
117views Bioinformatics» more  WABI 2005»
15 years 7 months ago
Faster Algorithms for Optimal Multiple Sequence Alignment Based on Pairwise Comparisons
Multiple Sequence Alignment (MSA) is one of the most fundamental problems in computational molecular biology. The running time of the best known scheme for finding an optimal ali...
Pankaj K. Agarwal, Yonatan Bilu, Rachel Kolodny
SAC
2004
ACM
15 years 7 months ago
A comparison of randomized and evolutionary approaches for optimizing base station site selection
It is increasingly important to optimally select base stations in the design of cellular networks, as customers demand cheaper and better wireless services. From a set of potentia...
Larry Raisanen, Roger M. Whitaker, Steve Hurley
EMO
2006
Springer
113views Optimization» more  EMO 2006»
15 years 5 months ago
Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization
Abstract. Optimization in changing environment is a challenging task, especially when multiple objectives are to be optimized simultaneously. The basic idea to address dynamic opti...
Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sen...
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
15 years 5 months ago
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...
Iason Hatzakis, David Wallace
94
Voted
GECCO
2000
Springer
120views Optimization» more  GECCO 2000»
15 years 5 months ago
An Improved Adaptive Multi-Start Approach to Finding Near-Optimal Solutions to the Euclidean TSP
We present an "adaptive multi-start" genetic algorithm for the Euclidean traveling salesman problem that uses a population of tours locally optimized by the Lin-Kernigha...
Dan Bonachea, Eugene Ingerman, Joshua Levy, Scott ...