This repository contains the Java source codes of some of Dr. Ke Li's publications. All these java codes are developed based on the open source package jMetal (version 4.5). The main sources code and their corresponding publications are listed as followings. More information can be found from my group homepage.
K. Li, Á. Fialho, S. Kwong, Q. Zhang, “Adaptive Operator Selection with Bandits for Multiobjective Evolutionary Algorithm Based on Decomposition”, IEEE Trans. on Evolutionary Computation. 18(1): 114–130, 2014.
K. Li, Q. Zhang, S. Kwong, M. Li, R. Wang, “Stable Matching Based Selection in Evolutionary Multiobjective Optimization”, IEEE Trans. on Evolutionary Computation. 18(6): 909–923, 2014.
K. Li, S. Kwong, Q. Zhang, K. Deb, “Interrelationship-based Selection for Decomposition Multiobjective Optimization”, IEEE Trans. on Cybernetics. 45(10): 2076–2088, 2015.
K. Li, S. Kwong, K. Deb, “A Dual Population Paradigm for Evolutionary Multiobjective Optimization”, Information Sciences. 309: 50–72, 2015.
K. Li, K. Deb, Q. Zhang, “Evolutionary Multiobjective Optimization With Hybrid Selection Principles”, Proc. of 2015 IEEE Congress on Evolutionary Computation (CEC’15), IEEE Press: p. 900–907, May 2015.
K. Li, K. Deb, Q. Zhang, S. Kwong, “An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition”, IEEE Trans. on Evolutionary Computation. 19(5): 694–716, 2015.
M. Wu, K. Li, S. Kwong, Y. Zhou, Q. Zhang, “Matching-Based Selection with Incomplete Lists for Decomposition Multi-Objective Optimization”, IEEE Trans. on Evolutionary Computation, 21(4): 554–568, 2017.
K. Li, K. Deb, Q. Zhang, Q. Zhang, “Efficient Non-domination Level Update Method for Steady-State Evolutionary Multiobjective Optimization”, IEEE Trans. on Cybernetics, 47(9): 2838–2849, 2017.