• Publications
  • Influence
Multiobjective Immune Algorithm with Nondominated Neighbor-Based Selection
Nondominated Neighbor Immune Algorithm (NNIA) is proposed for multiobjective optimization by using a novel nondominated neighbor-based selection technique, an immune inspired operator, two heuristic search operators, and elitism. Expand
MOEA/D with Adaptive Weight Adjustment
We propose an improved MOEA/D with adaptive weight vector adjustment (MOEA/ D-AWA) for multi-objective optimization. Expand
Wavelet support vector machine
An admissible support vector (SV) kernel (the wavelet kernel), by which we can construct a wavelet support vector machine (SVM), is presented. Expand
Position-Patch Based Face Hallucination Using Convex Optimization
We provide a position-patch based face hallucination method using convex optimization. Expand
Graph dual regularization non-negative matrix factorization for co-clustering
In this paper, we propose a novel algorithm, called graph dual regularization non-negative matrix factorization (DNMF), which simultaneously considers the geometric structures of both the data manifold and the feature manifold. Expand
A novel genetic algorithm based on immunity
  • L. Jiao, L. Wang
  • Mathematics, Computer Science
  • IEEE Trans. Syst. Man Cybern. Part A
  • 1 September 2000
A novel algorithm, the immune genetic algorithm (IGA), is proposed based on the theory of immunity in biology which mainly constructs an immune operator accomplished by two steps: 1) a vaccination and 2) an immune selection. Expand
A Multiobjective Evolutionary Algorithm Based on Decision Variable Analyses for Multiobjective Optimization Problems With Large-Scale Variables
State-of-the-art multiobjective evolutionary algorithms (MOEAs) treat all the decision variables as a whole to optimize performance. Expand
Two_Arch2: An Improved Two-Archive Algorithm for Many-Objective Optimization
We propose a significantly improved two-archive algorithm (i.e., Two_Arch2) for ManyOPs with satisfactory convergence, diversity, and complexity in this paper. Expand
A multiagent genetic algorithm for global numerical optimization
In this paper, multiagent systems and genetic algorithms are integrated to form a new algorithm,multiagent genetic algorithm (MAGA), for solving the global numerical optimization problem. Expand
Adaptive NN Backstepping Output-Feedback Control for Stochastic Nonlinear Strict-Feedback Systems With Time-Varying Delays
For the first time, this paper addresses the problem of adaptive output-feedback control for a class of uncertain stochastic nonlinear strict-feedbacks with time-varying delays using neural networks. Expand