supported by the Yonsei Fellow Program funded by Lee Youn Jae,Institute of Information&Communications Technology Planning&Evaluation(IITP)grant funded by the Korean government,Ministry of Science and ICT(MSIT)(No.2020-0-01361,Artificial Intelligence Graduate School Program(Yonsei University);No.2022-0-00113,Developing a Sustainable Collaborative Multi-modal Lifelong Learning Framework);the support of Teachers Associateship for Research Excellence(TARE)Fellowship(No.TAR/2021/00006)of the Science and Engineering Research Board(SERB),Government of India.
This study attempts to accelerate the learning ability of an artificial electric field algorithm(AEFA)by attributing it with two mechanisms:elitism and opposition-based learning.Elitism advances the convergence of the...
This paper investigates the effect of adding three extensions to Central Force Optimization when it is used as the Global Search and Optimization method for the design and optimization of 6-elementYagi-Uda arrays. Tho...
Occupational Therapy is critically underdeveloped in many developing countries in Asia. There are many internal and external barriers to the growth of the profession, including lack of willpower and lack of profession...
This article tries to explain elitism in China's governmental decision making. Our model shows that the governments' expected utility increases with a bureaucrat's ability to make decisions under the flexible frame...
In his Autobiography, John Stuart Mill, the 19th-century British political philosopher, portrayed his On Liberty as being "a kind of philosophic text-book" dedicated to a single truth, that is, "the importance, to ...
Project(50275150) supported by the National Natural Science Foundation of China;Projects(20040533035, 20070533131) supported by the National Research Foundation for the Doctoral Program of Higher Education of China
A novel immune genetic algorithm with the elitist selection and elitist crossover was proposed, which is called the immune genetic algorithm with the elitism (IGAE). In IGAE, the new methods for computing antibody s...
This work was supported by UK EPSRC(No.EP/E060722/01);Broil FAPESP(Proc.04/04289-6).
Dynamic optimization problems are a kind of optimization problems that involve changes over time. They pose a serious challenge to traditional optimization methods as well as conventional genetic algorithms since the ...