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CHINAF
2011
14 years 4 months ago
Immigrant schemes for evolutionary algorithms in dynamic environments: Adapting the replacement rate
One approach for evolutionary algorithms (EAs) to address dynamic optimization problems (DOPs) is to maintain diversity of the population via introducing immigrants. So far all imm...
Xin Yu, Ke Tang, Xin Yao
CEC
2008
IEEE
15 years 6 months ago
A multi-agent based evolutionary algorithm in non-stationary environments
— In this paper, a multi-agent based evolutionary algorithm (MAEA) is introduced to solve dynamic optimization problems. The agents simulate living organism features and co-evolv...
Yang Yan, Hongfeng Wang, Dingwei Wang, Shengxiang ...
ICRA
2006
IEEE
217views Robotics» more  ICRA 2006»
15 years 6 months ago
Complete Coverage Control for Nonholonomic Mobile Robots in Dynamic Environments
— We study the problem of generating continuous steering control for robots to completely cover a bounded region over a finite time. First, we pack the area by disks of minimum ...
Yi Guo, Mohanakrishnan Balakrishnan
WSC
2000
15 years 1 months ago
Using simulation and critical points to define states in continuous search spaces
Many artificial intelligence techniques rely on the notion ate" as an abstraction of the actual state of the nd an "operator" as an abstraction of the actions that ...
Marc S. Atkin, Paul R. Cohen
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
15 years 6 months ago
Experimental analysis of binary differential evolution in dynamic environments
Many real-world optimization problems are dynamic in nature. The interest in the Evolutionary Algorithms (EAs) community in applying EA variants to dynamic optimization problems h...
Alp Emre Kanlikilicer, Ali Keles, Sima Uyar