[LIVRE][B] Evolutionary learning: Advances in theories and algorithms
Many machine learning tasks involve solving complex optimization problems, such as
working on non-differentiable, non-continuous, and non-unique objective functions; in some …
working on non-differentiable, non-continuous, and non-unique objective functions; in some …
[PDF][PDF] Variable solution structure can be helpful in evolutionary optimization.
Evolutionary algorithms are a family of powerful heuristic optimization algorithms where
various representations have been used for solutions. Previous empirical studies have …
various representations have been used for solutions. Previous empirical studies have …
A study on Ant Miner parameters
Ant Miner is the application of Ant Colony Optimization algorithm in data classification
problem. Since it was proposed by Parpinelli et al., in 2001, a lot of data classification …
problem. Since it was proposed by Parpinelli et al., in 2001, a lot of data classification …
Evolutionary Learning
Around the year of 2001, the first author of this monograph, Zhou, developed with his
collaborators a powerful selective ensemble approach. This approach is able to produce …
collaborators a powerful selective ensemble approach. This approach is able to produce …
演化优化中可变解结构的效用分析
摘要创新点1. 对于采用可变结构来表示组合优化的解, 以往认为由于表达更加自然从而可帮助
演化算法更好的进行优化, 当仅有实验支持, 尚缺乏理论支撑, 本文对使用树形解结构的遗传规划 …
演化算法更好的进行优化, 当仅有实验支持, 尚缺乏理论支撑, 本文对使用树形解结构的遗传规划 …