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» Dispersion-Based Population Initialization
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CEC
2010
IEEE
12 years 11 months ago
Tweaking a tower of blocks leads to a TMBL: Pursuing long term fitness growth in program evolution
— If a population of programs evolved not for a few hundred generations but for a few hundred thousand or more, could it generate more interesting behaviours and tackle more comp...
Tony E. Lewis, George D. Magoulas
ICNC
2009
Springer
14 years 1 months ago
An Improved Greedy Genetic Algorithm for Solving Travelling Salesman Problem
—Genetic algorithm (GA) is too dependent on the initial population and a lack of local search ability. In this paper, an improved greedy genetic algorithm (IGAA) is proposed to o...
Zhenchao Wang, Haibin Duan, Xiangyin Zhang
AE
2009
Springer
13 years 8 months ago
Memetic Algorithms for Constructing Binary Covering Arrays of Strength Three
Abstract. This paper presents a new Memetic Algorithm (MA) designed to compute near-optimal solutions for the covering array construction problem. It incorporates several distingui...
Eduardo Rodriguez-Tello, Jose Torres-Jimenez
CEC
2008
IEEE
14 years 1 months ago
Social learning in Population-based Adaptive Systems
— The subject of the present investigation is Population-based Adaptive Systems (PAS), as implemented in the NEW TIES platform. In many existing PASs two adaptation mechanisms ar...
Evert Haasdijk, Paul Vogt, A. E. Eiben
GECCO
2004
Springer
109views Optimization» more  GECCO 2004»
14 years 22 days ago
Development of a Genetic Algorithm for Optimization of Nanoalloys
A genetic algorithm has been developed in order to find the global minimum of platinum-palladium nanoalloy clusters. The effect of biasing the initial population and predating sp...
Lesley D. Lloyd, Roy L. Johnston, Said Salhi