Items where Author is "He, J"

Journal article

XU, T., CHEN, H. and HE, J., 2025. An adaptive helper and equivalent objective evolution strategy for constrained optimization. Information Sciences, 690: 121536. ISSN 0020-0255

HE, J. and ZHOU, Y., 2024. Drift analysis with fitness levels for elitist evolutionary algorithms. Evolutionary Computation. ISSN 1063-6560

WANG, C., HE, J., CHEN, Y. and ZOU, X., 2022. Influence of binomial crossover on approximation error of evolutionary algorithms. Mathematics, 10 (16): 2850. ISSN 2227-7390

WANG, C., CHEN, Y., HE, J. and XIE, C., 2021. Error analysis of elitist randomized search heuristics. Swarm and Evolutionary Computation, 63: 100875. ISSN 2210-6502

MIN, C., YANG, X., HE, J., WANG, K., XIE, L., ONWUDE, D.I., ZHANG, W. and WU, H., 2021. Experimental investigation on heat recovery from flue gas using falling film method. Thermal Science and Engineering Progress, 22: 100839. ISSN 2451-9049

CHEN, Y. and HE, J., 2021. Average convergence rate of evolutionary algorithms in continuous optimization. Information Sciences. ISSN 0020-0255

XU, T., HE, J. and SHANG, C., 2020. Helper and equivalent objectives: efficient approach for constrained optimization. IEEE Transactions on Cybernetics. ISSN 2168-2267

CHEN, T., HE, J., CHEN, G. and YAO, X., 2020. Choosing selection pressure for wide-gap problems. Theoretical Computer Science, 411 (6), pp. 926-934. ISSN 0304-3975

CHONG, S.Y., TIŇO, P. and HE, J., 2019. Coevolutionary systems and PageRank. Artificial Intelligence, 277: 103164. ISSN 0004-3702

HUANG, W., XU, T., LI, K. and HE, J., 2019. Multiobjective differential evolution enhanced with principle component analysis for constrained optimization. Swarm and Evolutionary Computation, 50: 100571. ISSN 2210-6502

ZHOU, Y., XIANG, Y., CHEN, Z., HE, J. and WANG, J., 2019. A scalar projection and angle based evolutionary algorithm for many-objective optimization problems. IEEE Transactions on Cybernetics, 49 (6), pp. 2073-2084. ISSN 2168-2267

DING, R., DONG, H., HE, J. and LI, T., 2019. A novel two-archive strategy for evolutionary many-objective optimization algorithm based on reference points. Applied Soft Computing, 78, pp. 447-464. ISSN 1568-4946

PANG, J., HE, J. and DONG, H., 2018. Hybrid evolutionary programming using adaptive Lévy mutation and modified Nelder–Mead method. Soft Computing. ISSN 1432-7643

LI-SHAN, K., CHEN, Y., LI, W., HE, J. and XUE, Y., 2018. Improved gene expression programming to solve the inverse problem for ordinary differential equations. Swarm and Evolutionary Computation, 38, pp. 231-239. ISSN 2210-6502

CHONG, S.Y., TIŇO, P., HE, J. and YAO, X., 2017. A new framework for analysis of coevolutionary systems - directed graph representation and random walks. Evolutionary Computation. ISSN 1063-6560

HE, J. and YAO, X., 2017. Average drift analysis and population scalability. IEEE Transactions on Evolutionary Computation, 21 (3), pp. 426-439. ISSN 1089-778X

CORUS, D., HE, J., JANSEN, T., OLIVETO, P.S., SUDHOLT, D. and ZARGES, C., 2017. On easiest functions for mutation operators in bio-inspired optimisation. Algorithmica, 78 (2), pp. 714-740. ISSN 0178-4617

HE, J. and LIN, G., 2016. Average convergence rate of evolutionary algorithms. IEEE Transactions on Evolutionary Computation, 20 (2), pp. 316-321. ISSN 1089-778X

HE, J., CHEN, T. and YAO, X., 2015. On the easiest and hardest fitness functions. IEEE Transactions on Evolutionary Computation, 19 (2), pp. 295-305. ISSN 1089-778X

LAI, X., ZHOU, Y., HE, J. and ZHANG, J., 2014. Performance analysis of evolutionary algorithms for the minimum label spanning tree problem. IEEE Transactions on Evolutionary Computation, 18 (6), pp. 860-872. ISSN 1089-778X

MITAVSKIY, B.S., TUCI, E., CANNINGS, C., ROWE, J. and HE, J., 2013. Geiringer theorems: from population genetics to computational intelligence, memory evolutive systems and Hebbian learning. Natural Computing, 12 (4), pp. 473-484. ISSN 1567-7818

CAI, Z., OU, X., ZHANG, X., ZHANG, X., HE, J. and XING, Y., 2013. Comparative study of energy consumption and CO2 emissions between Beijing and London. Frontiers in Energy, 7 (1), pp. 1-5. ISSN 2095-1701

CHEN, Y., ZOU, X. and HE, J., 2011. Drift conditions for estimating the first hitting times of evolutionary algorithms. International Journal of Computer Mathematics, 88 (1), pp. 37-50. ISSN 0020-7160

FRIEDRICH, T., HE, J., HEBBINGHAUS, N., NEUMANN, F. and WITT, C., 2010. Approximating covering problems by randomized search heuristics using multi-objective models. Evolutionary Computation, 18 (4), pp. 617-633. ISSN 1063-6560

OLIVETO, P.S., HE, J. and YAO, X., 2009. Analysis of the (1+1)-EA for finding approximate solutions to vertex cover problems. IEEE Transactions on Evolutionary Computation, 13 (5), pp. 1006-1029. ISSN 1089-778X

CHENG, T.M.K., HE, J., SUN, G., CHEN, G. and YAO, X., 2009. A new approach for analyzing average time complexity of population-based evolutionary algorithms on unimodal problems. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 39 (5), pp. 1092-1106. ISSN 1083-4419

HE, J. and KANG, L., 2009. A mixed strategy of combining evolutionary algorithms with multigrid methods. International Journal of Computer Mathematics, 86 (5), pp. 837-849. ISSN 0020-7160

FRIEDRICH, T., HE, J., HEBBINGHAUS, N., NEUMANN, F. and WITT, C., 2009. Analyses of simple hybrid algorithms for the vertex cover problem. Evolutionary Computation, 17 (1), pp. 3-19. ISSN 1063-6560

ZHOU, Y., HE, J. and NIE, Q., 2009. A comparative runtime analysis of heuristic algorithms for satisfiability problems. Artificial Intelligence, 173 (2), pp. 240-257. ISSN 0004-3702

POWERS, S.T. and HE, J., 2008. A hybrid artificial immune system and Self Organising Map for network intrusion detection. Information Sciences, 178 (15), pp. 3024-3042. ISSN 0020-0255

HE, J., REEVES, C., WITT, C. and YAO, X., 2007. A note on problem difficulty measures in black-box optimization: classification, realizations and predictability. Evolutionary Computation, 15 (4), pp. 435-443. ISSN 1063-6560

ZHOU, Y. and HE, J., 2007. Convergence analysis of a self-adaptive multi-objective evolutionary algorithm based on grids. Information Processing Letters, 104 (4), pp. 117-122. ISSN 0020-0190

ZHOU, Y. and HE, J., 2007. A runtime analysis of evolutionary algorithms for constrained optimization problems. IEEE Transactions on Evolutionary Computation, 11 (5), pp. 608-619. ISSN 1089-778X

OLIVETO, P.S., HE, J. and YAO, X., 2007. Time complexity of evolutionary algorithms for combinatorial optimization: a decade of results. International Journal of Automation and Computing, 4 (3), pp. 281-293. ISSN 1476-8186

DONG, H., HE, J., HUANG, H. and HOU, W., 2007. Evolutionary programming using a mixed mutation strategy. Information Sciences, 177 (1), pp. 312-327. ISSN 0020-0255

GEYER, R., DAVIS, J., LEY, J., HE, J., CLIFT, R., KWAN, A., SANSOM, A. and JACKSON, T., 2007. Time-dependent material flow analysis of iron and steel in the UK Part 1: Production and consumption trends 1970-2000. Resources Conservation and Recycling, 51 (1), pp. 101-117. ISSN 0921-3449

DAVIS, J., GEYER, R., LEY, J., HE, J., CLIFT, R., KWAN, A., SANSOM, A. and JACKSON, T., 2007. Time-dependent material flow analysis of iron and steel in the UK Part 2. Scrap generation and recycling. Resources Conservation and Recycling, 51 (1), pp. 118-140. ISSN 0921-3449

YAO, X., LIU, Y., LI, J., HE, J. and FRAYN, C., 2006. Current developments and future directions of bio-inspired computation and implications for ecoinformatics. Ecological Informatics, 1 (1), pp. 9-22. ISSN 1574-9541

HE, J., YAO, X. and LI, J., 2005. A comparative study of three evolutionary algorithms incorporating different amounts of domain knowledge for node covering problem. IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 35 (2), pp. 266-271. ISSN 1094-6977

HE, J. and YAO, X., 2004. Time complexity analysis of an evolutionary algorithm for finding nearly maximum cardinality matching. Journal of Computer Science and Technology, 19 (4), pp. 450-458. ISSN 1000-9000

HE, J. and YAO, X., 2004. A study of drift analysis for estimating computation time of evolutionary algorithms. Natural Computing, 3 (1), pp. 21-35. ISSN 1567-7818

HE, J. and YAO, X., 2003. Towards an analytic framework for analysing the computation time of evolutionary algorithms. Artificial Intelligence, 145 (1-2), pp. 59-97. ISSN 0004-3702

HE, J. and YAO, X., 2003. Drift analysis in studying the convergence and hitting times of evolutionary algorithms: an overview. Wuhan University Journal of Natural Sciences, 8 (1), pp. 143-154. ISSN 1007-1202

HE, J. and YAO, X., 2002. From an individual to a population: an analysis of the first hitting time of population-based evolutionary algorithms. IEEE Transactions on Evolutionary Computation, 6 (5), pp. 495-511. ISSN 1089-778X

HE, J. and YU, X., 2001. Conditions for the convergence of evolutionary algorithms. Journal of Systems Architecture, 47 (7), pp. 601-612. ISSN 1383-7621

HE, J. and YAO, X., 2001. Drift analysis and average time complexity of evolutionary algorithms. Artificial Intelligence, 127 (1), pp. 57-85. ISSN 0004-3702

KANG, L.S., LI, Y.X., PAN, Z.J., HE, J. and EVANS, D.J., 2001. Massively parallel algorithms from physics and biology. International Journal of Computer Mathematics, 77 (2), pp. 201-250. ISSN 0020-7160

HE, J., XU, J. and YAO, X., 2000. Solving equations by hybrid evolutionary computation techniques. IEEE Transactions on Evolutionary Computation, 4 (3), pp. 295-304. ISSN 1089-778X

HE, J. and KANG, L., 1999. On the convergence rates of genetic algorithms. Theoretical Computer Science, 229 (1-2), pp. 23-39. ISSN 0304-3975

HE, J., KANG, L.-S. and CHEN, Y.-J., 1996. Multiple structure computational model and its application in optimization. Wuhan University Journal of Natural Sciences, 1 (3-4), pp. 593-598. ISSN 1007-1202

HE, J., KANG, L.-S. and CHEN, Y.-J., 1995. Convergence of genetic evolution algorithms for optimization. Parallel Algorithms and Applications, 5 (1-2), pp. 37-56. ISSN 1063-7192

Chapter in book

RAJA, T.V., EZZIANE, Z., HE, J., MA, X. and KAZAURE, A.W.-Z., 2023. Detection of DDoS attack on smart home infrastructure using artificial intelligence models. In: 2022 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC). IEEE. ISBN 9798350331554

WALI, A., APEJOYE, O., RAJA, T., HE, J. and MA, X., 2023. A novel approach to identifying DDoS traffic in the smart home network via exploratory data analysis. In: Applied Intelligence and Informatics: Second International Conference, AII 2022, Reggio Calabria, Italy, September 1–3, 2022, proceedings. Cham: Springer, pp. 478-498. ISBN 9783031248009

AFZALOV, A., LOTFI, A. and HE, J., 2023. Coupled assignment strategy of agents in many targets environment. In: A. PAULA ROCHA, L. STEELS and J. VAN DEN HERIK, eds., Proceedings of the 15th International Conference on Agents and Artificial Intelligence, Volume 1. Setúbal: SCITEPRESS - Science and Technology Publications, pp. 372-379. ISBN 9789897586231

WALI, A., APEJOYE, O., HE, J. and MA, X., 2022. An exploratory data analysis of the network behavior of hive home devices. In: J.M. LAURET, M. ABDEL-MAGUID, Y. JARARWEH and E. BENKHELIFA, eds., 2021 8th International Conference on Internet of Things: Systems, Management and Security (IOTSMS). Piscataway: Institute of Electrical and Electronics Engineers. ISBN 9781665458689

AFZALOV, A., HE, J., LOTFI, A. and AYDIN, M.E., 2021. Multi-agent path planning approach using assignment strategy variations in pursuit of moving targets. In: G. JEZIC, J. CHEN-BURGER, M. KUSEK, R. SPERKA, R.J. HOWLETT and L.C. JAIN, eds., Agents and Multi-Agent Systems: Technologies and Applications 2021. Proceedings of 15th KES International Conference, KES-AMSTA 2021, June 2021. Singapore: Springer, pp. 451-463. ISBN 9789811629938

NASER, A., LOTFI, A., ZHONG, J. and HE, J., 2020. Human activity of daily living recognition in presence of an animal pet using thermal sensor array. In: PETRA '20: Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments. New York: Association for Computing Machinery (ACM), pp. 1-6. ISBN 9781450377737

NASER, A., LOTFI, A., ZHONG, J. and HE, J., 2020. Heat-map based occupancy estimation using adaptive boosting. In: 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE): 2020 conference proceedings. Piscataway, NJ: IEEE. ISBN 9781728169323

XU, T., HE, J., SHANG, C. and YING, W., 2016. A new multi-objective model for constrained optimisation. In: P. ANGELOV, A. GEGOV, C. JAYNE and Q. SHEN, eds., Advances in Computational Intelligence Systems: contributions presented at the 16th UK Workshop on Computational Intelligence, Lancaster, 7-9 September 7–9 2016. Advances in intelligent systems and computing book series (AISC), 513 . Cham, Switzerland: Springer, pp. 71-85. ISBN 9783319465616