Yang, Shengxiang - Department of Computer Science, University of Leicester

• Non-Stationary Problem Optimization Using the Primal-Dual Genetic Shengxiang Yang
• Explicit Memory Schemes for Evolutionary Algorithms in Dynamic Environments
• Job-Shop Scheduling with an Adaptive Neural Network and Local Search Hybrid Approach
• Learning the Dominance in Diploid Genetic Algorithms for Changing Optimization Problems
• 1348 IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART B: CYBERNETICS , VOL. 39, NO. 6, DECEMBER 2009 Adaptive PrimalDual Genetic Algorithms in
• Fast Multi-swarm Optimization for Dynamic Optimization Problems Department of Computer Science
• Genetic Algorithms with Elitism-based Immigrants for Dynamic Shortest Path Problem in Mobile Ad Hoc Networks
• Proceedings of the Fourth Workshop on Evolutionary Algorithms for
• Evolutionary Programming with q-Gaussian Mutation for Dynamic Optimization Problems
• Tutorial, GECCO'05, Washington D.C. Fitness Approximation
• J Sched (2010) 13: 1738 DOI 10.1007/s10951-009-0106-z
• Agent based Evolutionary Dynamic Optimization , Shengxiang Yang 2
• Journal of Memetic Computing Call For Papers Thematic Issue on 'Memetic Computing in the Presence of
• An Adaptive Learning Particle Swarm Optimizer for Function Optimization
• An Adaptive Mutation Operator for Particle Swarm Optimization
• An Improved Adaptive Neural Network for Job-Shop Scheduling Shengxiang Yang
• Genetic Algorithms Based on Primal-Dual Chromosomes for Royal Road Functions
• CO3014 Mathematics and Computer Science Project Credits: 20 Convenor: Dr S. Yang Semester: 1st
• CO2005 Object-Oriented Programming Using C++ Credits: 10 Convenor: Dr. S. Yang Semester: 2nd
• CO1003 Program Design Credits: 20 Convenor: Dr. M. Hoffmann Semester: 1st
• Continuous Dynamic Problem Generators for Evolutionary Renato Tinos and Shengxiang Yang
• GENETIC ALGORITHM AND NEURAL NETWORK HYBRID APPROACH FOR JOB-SHOP SCHEDULING
• WIRELESS COMMUNICATIONS AND MOBILE COMPUTING Wirel. Commun. Mob. Comput. 2009; 9:759771
• Special Session Organizers Dr. Shengxiang Yang
• 474 IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 11, NO. 2, MARCH 2000 Constraint Satisfaction Adaptive Neural Network and
• CO3120 Computer Science with Management Project Credits: 30 Convenor: Dr S. Yang Semester: 1 + 2
• Memory Based on Abstraction for Dynamic Fitness Functions
• This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART C: APPLICATIONS AND REVIEWS 1
• This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART B: CYBERNETICS 1
• ORIGINAL PAPER Environment identification-based memory scheme for estimation
• A particle swarm optimization based memetic algorithm for dynamic optimization problems
• Genetic algorithms with immigrants schemes for dynamic multicast problems in mobile ad hoc networks
• QoS multicast tree construction in IP/DWDM optical internet by bio-inspired algorithms
• 52 IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART C: APPLICATIONS AND REVIEWS, VOL. 40, NO. 1, JANUARY 2010 Genetic Algorithms With Immigrants and Memory
• Learning behavior in abstract memory schemes for dynamic optimization problems
• Adaptive Group Mutation for Tackling Deception in Genetic Search SHENGXIANG YANG
• This research was supported by the National Nature Science Foundation (No. 69684005) and National High-Tech Program of People's Republic of China (No. 863-511-9609-003) and was done when Shengxiang Yang was pursuing his
• In: Mobile Computing Research and Applications ISBN: 978-1-60741-101-7 Editors: Kevin Y. Chen and H.K. Lee, pp. - 2009 Nova Science Publishers, Inc.
• PDGA: the Primal-Dual Genetic Algorithm Shengxiang Yang
• Ant Colony Optimization with Immigrants Schemes in Dynamic Environments
• A Hybrid Genetic Algorithm and Inver Over Approach for the Travelling Salesman Problem
• Joint Multicast Routing and Channel Assignment in Multiradio Multichannel Wireless Mesh Networks
• Hyper-Learning for Population-Based Incremental Learning in Dynamic Environments
• An Immune System Based Genetic Algorithm Using Permutation-Based Dualism for Dynamic
• Particle Filter with Swarm Move for Optimization
• Hyper-Selection in Dynamic Environments Shengxiang Yang and Renato Tinos
• Genetic Algorithms with Elitism-Based Immigrants for Changing Optimization Problems
• A Comparative Study of Immune System Based Genetic Algorithms in Dynamic Environments
• Associative Memory Scheme for Genetic Algorithms in Dynamic Environments
• Adaptive Mutation with Fitness and Allele Distribution Correlation for Genetic Algorithms
• Memory-Enhanced Univariate Marginal Distribution Algorithms for Dynamic Optimization Problems
• Genetic Algorithms with Self-Organized Criticality for Dynamic Optimization Renato Tinos
• Memory-Based Immigrants for Genetic Algorithms in Dynamic Environments
• Dual Population-Based Incremental Learning for Problem Optimization in Dynamic Environments
• Benchmark Generator for CEC'2009 Competition on Dynamic Optimization
• EvoStar 2009 The main European events in Evolutionary Computation
• Special Session Organizers Dr. Shengxiang Yang
• CO2017 Operating Systems, Networks and Distributed Systems Credits: 20 Convenor: Dr. S. Yang Semester: 2nd
• CO3097 Programming Secure and Distributed Systems Credits: 20 Convenor: Dr. S. Yang Semester: 1st
• Population-Based Incremental Learning with Memory Scheme for Changing Environments
• IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, VOL. 9, NO. 3, JUNE 2005 303 Evolutionary Optimization in Uncertain
• Genet Program Evolvable Mach (2006) 7:293294 DOI 10.1007/s10710-006-9016-4
• A Genetic-Inspired Joint Multicast Routing and Channel Assignment Algorithm in Wireless Mesh Networks
• A Multi-Agent Based Evolutionary Algorithm in Non-stationary Environments
• An Island Based Hybrid Evolutionary Algorithm for Optimization
• Triggered Memory-Based Swarm Optimization in Dynamic Environments
• 542 IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, VOL. 12, NO. 5, OCTOBER 2008 Population-Based Incremental Learning With
• Memetic Comp. (2010) 2:8586 DOI 10.1007/s12293-010-0033-8
• An Analysis of the XOR Dynamic Problem Generator Based on the Dynamical System
• A Guided Search Genetic Algorithm for the University Course Timetabling Problem
• Evolutionary Algorithms for Dynamic Optimization Problems: Workshop Preface
• Constructing Dynamic Test Environments for Genetic Algorithms Based on Problem Difficulty
• Genetic Algorithms with Memory-and Elitism-Based Immigrants in Dynamic Environments
• Special Session Organizers Dr. Shengxiang Yang
• Soft Comput (2009) 13:763780 DOI 10.1007/s00500-008-0347-3
• On the Design of Diploid Genetic Algorithms for Problem Optimization in Dynamic Environments
• A Generalized Approach to Construct Benchmark Problems for Dynamic Optimization
• ORIGINAL PAPER A self-organizing random immigrants genetic algorithm
• A Sequence Based Genetic Algorithm with Local Search for the Travelling Salesman Problem
• Self-Adaptation of Mutation Distribution in Evolutionary Renato Tinos and Shengxiang Yang
• Joint Multicast Routing and Channel Assignment in Multiradio Multichannel Wireless
• Genetic Algorithms with Self-Organizing Behaviour in Dynamic Environments
• Adaptive Learning Particle Swarm Optimizer-II for Global Optimization
• A Clustering Particle Swarm Optimizer for Dynamic Optimization Changhe Li and Shengxiang Yang
• Shengxiang Yang Xin Yao Experimental study on population-based incremental learning
• International Journal of Automation and Computing 04(3), July 2007, 243-254 DOI: 10.1007/s11633-007-0243-9
• Evolution Strategies with q-Gaussian Mutation for Dynamic Optimization Problems Renato Tinos
• Compound Particle Swarm Optimization in Dynamic Environments
• Multi-population Genetic Algorithms with Immigrants Scheme for Dynamic Shortest Path
• A multipopulation parallel genetic simulated annealing-based QoS routing and wavelength assignment integration algorithm for multicast
• Dominance Learning in Diploid Genetic Algorithms for Dynamic Optimization Problems
• A Directed Mutation Operator for Real Coded Genetic Algorithms
• Learning in Abstract Memory Schemes for Dynamic Optimization Hendrik Richter
• CO3015 Computer Science Project Credits: 40 Convenor: Dr S. Yang Semester: 1 + 2