Shengxiang Yang

Weijian Kong, Tianyou Chai, Shengxiang Yang, Jinliang Ding: A hybrid evolutionary multiobjective optimization strategy for the dynamic power supply problem in magnesia grain manufacturing. Appl. Soft Comput. 13(5): 2960-2969 (2013)

Hui Cheng, Shengxiang Yang, Jiannong Cao: Dynamic genetic algorithms for the dynamic load balanced clustering problem in mobile ad hoc networks. Expert Syst. Appl. 40(4): 1381-1392 (2013)

Miqing Li, Shengxiang Yang, Xiaohui Liu, Kang Wang: IPESA-II: Improved Pareto Envelope-Based Selection Algorithm II. EMO 2013: 143-155

Miqing Li, Shengxiang Yang, Xiaohui Liu, Ruimin Shen: A Comparative Study on Evolutionary Algorithms for Many-Objective Optimization. EMO 2013: 261-275

Michalis Mavrovouniotis, Shengxiang Yang: Adapting the Pheromone Evaporation Rate in Dynamic Routing Problems. EvoApplications 2013: 606-615

Hui Cheng, Shengxiang Yang, Xingwei Wang: Immigrants-Enhanced Multi-Population Genetic Algorithms for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks. Applied Artificial Intelligence 26(7): 673-695 (2012)

Hongfeng Wang, Shengxiang Yang, W. H. Ip, Dingwei Wang: A memetic particle swarm optimisation algorithm for dynamic multi-modal optimisation problems. Int. J. Systems Science 43(7): 1268-1283 (2012)

Lili Liu, Shengxiang Yang, Dingwei Wang: Force-imitated particle swarm optimization using the near-neighbor effect for locating multiple optima. Inf. Sci. 182(1): 139-155 (2012)

Hongfeng Wang, Ilkyeong Moon, Shengxiang Yang, Dingwei Wang: A memetic particle swarm optimization algorithm for multimodal optimization problems. Inf. Sci. 197: 38-52 (2012)

Trung Thanh Nguyen, Shengxiang Yang, Jürgen Branke: Evolutionary dynamic optimization: A survey of the state of the art. Swarm and Evolutionary Computation 6: 1-24 (2012)

Changhe Li, Shengxiang Yang: A General Framework of Multipopulation Methods With Clustering in Undetectable Dynamic Environments. IEEE Trans. Evolutionary Computation 16(4): 556-577 (2012)

Changhe Li, Shengxiang Yang, Trung Thanh Nguyen: A Self-Learning Particle Swarm Optimizer for Global Optimization Problems. IEEE Transactions on Systems, Man, and Cybernetics, Part B 42(3): 627-646 (2012)

Yefeng Liu, Tianyou Chai, S. Joe Qin, Quanke Pan, Shengxiang Yang: Improved genetic algorithm for magnetic material two-stage multi-product production scheduling: A case study. CDC 2012: 2521-2526

Changhe Li, Shengxiang Yang, Ming Yang: Maintaining diversity by clustering in dynamic environments. IEEE Congress on Evolutionary Computation 2012: 1-8

Michalis Mavrovouniotis, Shengxiang Yang: Ant colony optimization with memory-based immigrants for the dynamic vehicle routing problem. IEEE Congress on Evolutionary Computation 2012: 1-8

Michalis Mavrovouniotis, Shengxiang Yang: Ant Colony Optimization with Immigrants Schemes for the Dynamic Vehicle Routing Problem. EvoApplications 2012: 519-528

Michalis Mavrovouniotis, Shengxiang Yang, Xin Yao: A Benchmark Generator for Dynamic Permutation-Encoded Problems. PPSN (2) 2012: 508-517

Zujian Wu, Shengxiang Yang, David Gilbert: A Hybrid Approach to Piecewise Modelling of Biochemical Systems. PPSN (1) 2012: 519-528

Hui Cheng, Shengxiang Yang: Hyper-mutation Based Genetic Algorithms for Dynamic Multicast Routing Problem in Mobile Ad Hoc Networks. TrustCom 2012: 1586-1592

Hui Cheng, Shengxiang Yang: Joint QoS multicast routing and channel assignment in multiradio multichannel wireless mesh networks using intelligent computational methods. Appl. Soft Comput. 11(2): 1953-1964 (2011)

Renato Tinós, Shengxiang Yang: Self-adaptation of mutation distribution in evolution strategies for dynamic optimization problems. Int. J. Hybrid Intell. Syst. 8(3): 155-168 (2011)

Sadaf Naseem Jat, Shengxiang Yang: A hybrid genetic algorithm and tabu search approach for post enrolment course timetabling. J. Scheduling 14(6): 617-637 (2011)

Xingguang Peng, Xiaoguang Gao, Shengxiang Yang: Environment identification-based memory scheme for estimation of distribution algorithms in dynamic environments. Soft Comput. 15(2): 311-326 (2011)

Michalis Mavrovouniotis, Shengxiang Yang: A memetic ant colony optimization algorithm for the dynamic travelling salesman problem. Soft Comput. 15(7): 1405-1425 (2011)

Renato Tinós, Shengxiang Yang: Use of the q-Gaussian mutation in evolutionary algorithms. Soft Comput. 15(8): 1523-1549 (2011)

Shengxiang Yang, Sadaf Naseem Jat: Genetic Algorithms With Guided and Local Search Strategies for University Course Timetabling. IEEE Transactions on Systems, Man, and Cybernetics, Part C 41(1): 93-106 (2011)

Michalis Mavrovouniotis, Shengxiang Yang: An Immigrants Scheme Based on Environmental Information for Ant Colony Optimization for the Dynamic Travelling Salesman Problem. Artificial Evolution 2011: 1-12

Sadaf Naseem Jat, Shengxiang Yang: A Guided Search Non-dominated Sorting Genetic Algorithm for the Multi-Objective University Course Timetabling Problem. EvoCOP 2011: 1-13

Michalis Mavrovouniotis, Shengxiang Yang: Memory-Based Immigrants for Ant Colony Optimization in Changing Environments. EvoApplications (1) 2011: 324-333

Andreea Vescan, Crina Grosan, Shengxiang Yang: A hybrid evolutionary multiobjective approach for the dynamic component selection problem. HIS 2011: 714-721

Hui Cheng, Shengxiang Yang: Genetic algorithms with immigrants schemes for dynamic multicast problems in mobile ad hoc networks. Eng. Appl. of AI 23(5): 806-819 (2010)

Hui Cheng, Xingwei Wang, Shengxiang Yang, Min Huang, Jiannong Cao: QoS multicast tree construction in IP/DWDM optical internet by bio-inspired algorithms. J. Network and Computer Applications 33(4): 512-522 (2010)

Ferrante Neri, Shengxiang Yang: Guest editorial: Memetic Computing in the presence of uncertainties. Memetic Computing 2(2): 85-86 (2010)

Hongfeng Wang, Shengxiang Yang, W. H. Ip, Dingwei Wang: A particle swarm optimization based memetic algorithm for dynamic optimization problems. Natural Computing 9(3): 703-725 (2010)

Shengxiang Yang, Dingwei Wang, Tianyou Chai, Graham Kendall: An improved constraint satisfaction adaptive neural network for job-shop scheduling. J. Scheduling 13(1): 17-38 (2010)

Shengxiang Yang, Changhe Li: A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments. IEEE Trans. Evolutionary Computation 14(6): 959-974 (2010)

Shengxiang Yang, Hui Cheng, Fang Wang: Genetic Algorithms With Immigrants and Memory Schemes for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks. IEEE Transactions on Systems, Man, and Cybernetics, Part C 40(1): 52-63 (2010)

Lili Liu, Shengxiang Yang, Dingwei Wang: Particle Swarm Optimization With Composite Particles in Dynamic Environments. IEEE Transactions on Systems, Man, and Cybernetics, Part B 40(6): 1634-1648 (2010)

Shakeel Arshad, Shengxiang Yang: A hybrid genetic algorithm and inver over approach for the travelling salesman problem. IEEE Congress on Evolutionary Computation 2010: 1-8

Changhe Li, Shengxiang Yang: Adaptive learning particle swarm optimizer-II for global optimization. IEEE Congress on Evolutionary Computation 2010: 1-8

Imtiaz Korejo, Shengxiang Yang, Changhe Li: A Directed Mutation Operator for Real Coded Genetic Algorithms. EvoApplications (1) 2010: 491-500

Hui Cheng, Shengxiang Yang: Multi-population Genetic Algorithms with Immigrants Scheme for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks. EvoApplications (1) 2010: 562-571

Renato Tinós, Shengxiang Yang: An Analysis of the XOR Dynamic Problem Generator Based on the Dynamical System. PPSN (1) 2010: 274-283

Michalis Mavrovouniotis, Shengxiang Yang: Ant Colony Optimization with Immigrants Schemes in Dynamic Environments. PPSN (2) 2010: 371-380

Renato Tinós, Shengxiang Yang: Evolution Strategies with q-Gaussian Mutation for Dynamic Optimization Problems. SBRN 2010: 223-228

Hui Cheng, Xingwei Wang, Shengxiang Yang, Min Huang: A multipopulation parallel genetic simulated annealing-based QoS routing and wavelength assignment integration algorithm for multicast in optical networks. Appl. Soft Comput. 9(2): 677-684 (2009)

Hongfeng Wang, Dingwei Wang, Shengxiang Yang: A memetic algorithm with adaptive hill climbing strategy for dynamic optimization problems. Soft Comput. 13(8-9): 763-780 (2009)

Hendrik Richter, Shengxiang Yang: Learning behavior in abstract memory schemes for dynamic optimization problems. Soft Comput. 13(12): 1163-1173 (2009)

Hongfeng Wang, Shengxiang Yang, W. H. Ip, Dingwei Wang: Adaptive Primal-Dual Genetic Algorithms in Dynamic Environments. IEEE Transactions on Systems, Man, and Cybernetics, Part B 39(6): 1348-1361 (2009)

Hui Cheng, Jiannong Cao, Xingwei Wang, Sajal K. Das, Shengxiang Yang: Stability-aware multi-metric clustering in mobile ad hoc networks with group mobility. Wireless Communications and Mobile Computing 9(6): 759-771 (2009)

Changhe Li, Shengxiang Yang: An adaptive learning particle swarm optimizer for function optimization. IEEE Congress on Evolutionary Computation 2009: 381-388

Changhe Li, Shengxiang Yang: A clustering particle swarm optimizer for dynamic optimization. IEEE Congress on Evolutionary Computation 2009: 439-446

Shengxiang Yang, Hendrik Richter: Hyper-learning for population-based incremental learning in dynamic environments. IEEE Congress on Evolutionary Computation 2009: 682-689

Hui Cheng, Shengxiang Yang: Genetic algorithms with elitism-based immigrants for dynamic shortest path problem in mobile ad hoc networks. IEEE Congress on Evolutionary Computation 2009: 3135-3140

Lili Liu, Dingwei Wang, Shengxiang Yang: An Immune System Based Genetic Algorithm Using Permutation-Based Dualism for Dynamic Traveling Salesman Problems. EvoWorkshops 2009: 725-734

Hui Cheng, Shengxiang Yang: Joint Multicast Routing and Channel Assignment in Multiradio Multichannel Wireless Mesh Networks Using Tabu Search. ICNC (4) 2009: 325-330

Mario Giacobini, Anthony Brabazon, Stefano Cagnoni, Gianni A. Di Caro, Anikó Ekárt, Anna Esparcia-Alcázar, Muddassar Farooq, Andreas Fink, Penousal Machado, Jon McCormack, Michael O'Neill, Ferrante Neri, Mike Preuss, Franz Rothlauf, Ernesto Tarantino, Shengxiang Yang (Eds.): Applications of Evolutionary Computing, EvoWorkshops 2009: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG, Tübingen, Germany, April 15-17, 2009. Proceedings. Lecture Notes in Computer Science 5484, Springer 2009, isbn 978-3-642-01128-3

Shengxiang Yang: Genetic Algorithms with Memory- and Elitism-Based Immigrants in Dynamic Environments. Evolutionary Computation 16(3): 385-416 (2008)

Shengxiang Yang, Xin Yao: Population-Based Incremental Learning With Associative Memory for Dynamic Environments. IEEE Trans. Evolutionary Computation 12(5): 542-561 (2008)

Renato Tinós, Shengxiang Yang: Evolutionary programming with q-Gaussian mutation for dynamic optimization problems. IEEE Congress on Evolutionary Computation 2008: 1823-1830

Yang Yan, Hongfeng Wang, Dingwei Wang, Shengxiang Yang, Dazhi Wang: A multi-agent based evolutionary algorithm in non-stationary environments. IEEE Congress on Evolutionary Computation 2008: 2967-2974

Shengxiang Yang, Renato Tinós: Hyper-selection in dynamic environments. IEEE Congress on Evolutionary Computation 2008: 3185-3192

Hendrik Richter, Shengxiang Yang: Memory Based on Abstraction for Dynamic Fitness Functions. EvoWorkshops 2008: 596-605

Lili Liu, Dingwei Wang, Shengxiang Yang: Compound Particle Swarm Optimization in Dynamic Environments. EvoWorkshops 2008: 616-625

Sadaf Naseem Jat, Shengxiang Yang: A Memetic Algorithm for the University Course Timetabling Problem. ICTAI (1) 2008: 427-433

Hui Cheng, Xingwei Wang, Min Huang, Shengxiang Yang: A Review of Personal Communications Services. ICYCS 2008: 616-621

Chunlin Ji, Yangyang Zhang, Mengmeng Tong, Shengxiang Yang: Particle Filter with Swarm Move for Optimization. PPSN 2008: 909-918

Changhe Li, Shengxiang Yang: An Island Based Hybrid Evolutionary Algorithm for Optimization. SEAL 2008: 180-189

Hui Cheng, Shengxiang Yang: Joint Multicast Routing and Channel Assignment in Multiradio Multichannel Wireless Mesh Networks Using Simulated Annealing. SEAL 2008: 370-380

Changhe Li, Shengxiang Yang: A Generalized Approach to Construct Benchmark Problems for Dynamic Optimization. SEAL 2008: 391-400

Mario Giacobini, Anthony Brabazon, Stefano Cagnoni, Gianni Di Caro, Rolf Drechsler, Anikó Ekárt, Anna Esparcia-Alcázar, Muddassar Farooq, Andreas Fink, Jon McCormack, Michael O'Neill, Juan Romero, Franz Rothlauf, Giovanni Squillero, Sima Uyar, Shengxiang Yang (Eds.): Applications of Evolutionary Computing, EvoWorkshops 2008: EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog, Naples, Italy, March 26-28, 2008. Proceedings. Lecture Notes in Computer Science 4974, Springer 2008, isbn 978-3-540-78760-0

Shengxiang Yang, Yew-Soon Ong, Yaochu Jin (Eds.): Evolutionary Computation in Dynamic and Uncertain Environments. Studies in Computational Intelligence 51, Springer 2007, isbn 978-3-540-49772-1

Renato Tinós, Shengxiang Yang: A self-organizing random immigrants genetic algorithm for dynamic optimization problems. Genetic Programming and Evolvable Machines 8(3): 255-286 (2007)

Renato Tinós, Shengxiang Yang: Self-adaptation of mutation distribution in evolutionary algorithms. IEEE Congress on Evolutionary Computation 2007: 79-86

Renato Tinós, Shengxiang Yang: Continuous dynamic problem generators for evolutionary algorithms. IEEE Congress on Evolutionary Computation 2007: 236-243

Shengxiang Yang: Genetic Algorithms with Elitism-Based Immigrants for Changing Optimization Problems. EvoWorkshops 2007: 627-636

Hongfeng Wang, Dingwei Wang, Shengxiang Yang: Triggered Memory-Based Swarm Optimization in Dynamic Environments. EvoWorkshops 2007: 637-646

Shengxiang Yang: Explicit Memory Schemes for Evolutionary Algorithms in Dynamic Environments. Evolutionary Computation in Dynamic and Uncertain Environments 2007: 3-28

Renato Tinós, Shengxiang Yang: Genetic Algorithms with Self-Organizing Behaviour in Dynamic Environments. Evolutionary Computation in Dynamic and Uncertain Environments 2007: 105-127

Mario Giacobini, Anthony Brabazon, Stefano Cagnoni, Gianni Di Caro, Rolf Drechsler, Muddassar Farooq, Andreas Fink, Evelyne Lutton, Penousal Machado, Stefan Minner, Michael O'Neill, Juan Romero, Franz Rothlauf, Giovanni Squillero, Hideyuki Takagi, Sima Uyar, Shengxiang Yang (Eds.): Applications of Evolutinary Computing, EvoWorkshops 2007: EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog, Valencia, Spain, April11-13, 2007, Proceedings. Lecture Notes in Computer Science 4448, Springer 2007, isbn 978-3-540-71804-8

Shengxiang Yang, Yew-Soon Ong, Yaochu Jin: Editorial to special issue on evolutionary computation in dynamic and uncertain environments. Genetic Programming and Evolvable Machines 7(4): 293-294 (2006)

Shengxiang Yang: Associative Memory Scheme for Genetic Algorithms in Dynamic Environments. EvoWorkshops 2006: 788-799

Shengxiang Yang: A comparative study of immune system based genetic algorithms in dynamic environments. GECCO 2006: 1377-1384

Shengxiang Yang: Dominance learning in diploid genetic algorithms for dynamic optimization problems. GECCO 2006: 1435-1436

Shengxiang Yang: Job-Shop Scheduling with an Adaptive Neural Network and Local Search Hybrid Approach. IJCNN 2006: 2720-2727

Shengxiang Yang, Sima Uyar: Adaptive mutation with fitness and allele distribution correlation for genetic algorithms. SAC 2006: 940-944

Shengxiang Yang, Xin Yao: Experimental study on population-based incremental learning algorithms for dynamic optimization problems. Soft Comput. 9(11): 815-834 (2005)

Shengxiang Yang: Memory-enhanced univariate marginal distribution algorithms for dynamic optimization problems. Congress on Evolutionary Computation 2005: 2560-2567

Renato Tinós, Shengxiang Yang: Genetic algorithms with self-organized criticality for dynamic optimization problems. Congress on Evolutionary Computation 2005: 2816-2823

Shengxiang Yang, Jürgen Branke: Evolutionary algorithms for dynamic optimization problems: workshop preface. GECCO Workshops 2005: 23-24

Shengxiang Yang: Population-based incremental learning with memory scheme for changing environments. GECCO 2005: 711-718

Shengxiang Yang: Memory-based immigrants for genetic algorithms in dynamic environments. GECCO 2005: 1115-1122

Shengxiang Yang: An Improved Adaptive Neural Network for Job-Shop Scheduling. SMC 2005: 1200-1205

Shengxiang Yang: Statistics-Based Adaptive Non-uniform Mutation for Genetic Algorithms. GECCO 2003: 1618-1619

Shengxiang Yang: PDGA: the Primal-Dual Genetic Algorithm. HIS 2003: 214-223

Shengxiang Yang: Adaptive Non-Uniform Mutation Based on Statistics for Genetic Algorithms. GECCO Late Breaking Papers 2002: 490-495

Shengxiang Yang: Adaptive Non-uniform Crossover Based On Statistics For Genetic Algorithms. GECCO 2002: 650-657

Shengxiang Yang, Dingwei Wang: A new adaptive neural network and heuristics hybrid approach for job-shop scheduling. Computers & OR 28(10): 955-971 (2001)

Shengxiang Yang, Dingwei Wang: Constraint satisfaction adaptive neural network and heuristics combined approaches for generalized job-shop scheduling. IEEE Trans. Neural Netw. Learning Syst. 11(2): 474-486 (2000)