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cs.NE2018
A Theoretical Framework of Approximation Error Analysis of Evolutionary Algorithms
Jun He, Yu Chen, Yuren Zhou
In the empirical study of evolutionary algorithms, the solution quality is evaluated by either the fitness value or approximation error. The latter measures the fitness difference…
cs.NE2018
Multiobjective Optimization Differential Evolution Enhanced with Principle Component Analysis for Constrained Optimization
Wei Huang, Tao Xu, Kangshun Li +1
Multiobjective evolutionary algorithms (MOEAs) have been successfully applied to a number of constrained optimization problems. Many of them adopt mutation and crossover operators…
cs.NE2018
New Methods of Studying Valley Fitness Landscapes
Jun He, Tao Xu
The word "valley" is a popular term used in intuitively describing fitness landscapes. What is a valley on a fitness landscape? How to identify the direction and location of a vall…