.png){kind=icon}
返回
EVOLUTIONARY ALGORITHM WITH A CONFIGURABLE SEARCH MECHANISM
.png){kind=icon}
OA
AI
DOI：10.2478/jaiscr-2020-0011.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper, we propose a new population-based evolutionary algorithm that automatically configures the used search mechanism during its operation, which consists in choosing for each individual of the population a single evolutionary operator from the pool. The pool of operators comes from various evolutionary algorithms. With this idea, a flexible balance between exploration and exploitation of the problem domain can be achieved. The approach proposed in this paper might offer an inspirational alternative in creating evolutionary algorithms and their modifications. Moreover, different strategies for mutating those parts of individuals that encode the used search operators are also taken into account. The effectiveness of the proposed algorithm has been tested using typical benchmarks used to test evolutionary algorithms.
Keyword:
evolutionary algorithm
population-based algorithm
optimization
operator pool
operator selection
individual selection
期刊
IF:
2.4
论文数:
170
被引数:
459
机构
引用论文
Kinematic and kinetic differences in the execution of vertical jumps between people with good and poor ankle joint dorsiflexion踝关节背屈良好和不良的人在执行垂直跳跃时的运动学和动力学差异
.png){kind=icon}
PREAI
分享收藏
Evolutionary circuit design for fast FPGA-based classification of network application protocols
PREAI
分享收藏分享收藏
查看更多内容