Download Improving Evolutionary Algorithms with Scouting

Queue processing for download document The goal of an Evolutionary Algorithm(EA) is to find the optimal solution to a given problem by evolving a set of initial potential solutions. When the problem is multi-modal, an EA will often become trapped in a suboptimal solution(premature convergence)

You can start your download in 30 seconds

Recommend Documents
Pattern Mining with Evolutionary Algorithms

162 33 7MB

Evolutionary algorithms

175 4 39KB

Evolutionary Algorithms

194 18 239KB

Evolutionary Algorithms

165 0 2MB

Evolutionary Algorithms with Self-adjusting Asymmetric Mutation

173 54 65MB

Hybrid Evolutionary Algorithms

188 74 19MB

Introduction to Evolutionary Algorithms

206 19 4MB

Designing Evolutionary Algorithms

196 98 3MB

Theoretical Perspectives on Evolutionary Algorithms

172 67 163KB

Evolutionary Algorithms and Chaotic Systems

196 45 40MB

EVOLUTIONARY ALGORITHMS IN COMBINATORIAL OPTIMIZATION

173 36 6MB

Parameter Setting in Evolutionary Algorithms

196 109 7MB