[1] Kennedy J,Eberhart R C.Particle swarm optimization[A].Proceedings of the IEEE International Conference on Neural Networks[C].Piscataway:IEEE Press,1995.1942-1948.
[2] Wang D S,Tan D P,Liu L.Particle swarm optimization algorithm:an overview[J].Soft Computing,DOI 10.1007/s00500-016-2474-6
[3] Shi Y,Eberhart R C.Fuzzy adaptive particle swarm optimization[A].Proceedings of IEEE Congress on Evolutionary Computation[C].Seoul,Korea:IEEE Press,2001.101-106.
[4] Ratnaweera A,Saman K H.Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients[J].IEEE Transactions on Evolutionary Computation,2004,8(3):240-255.
[5] Zhan Z H,Zhang J,Li Y,et al.Adaptive particle swarm optimization[J].IEEE Transaction on Systems,Man,and Cybernetics-Part B:Cybernetics,2009,39(6):1362-1381.
[6] Tanweer M R,Suresh S,Sundararajan N.Self regulating particle swarm optimization algorithm[J].Information Sciences,2015,294:182-202.
[7] Suganthan P N.Particle swarm optimizer with neighborhood operator[A].Proceedings of IEEE Congress on Evolutionary Computation[C].Washington D C,USA:IEEE Press,1999.1958-1962.
[8] Peram T,Veeramachaneni K,Mohan C K.Fitness-distance-ratio based particle swarm optimization[A].Proceedings of Swarm Intelligence Symp.[C].Indianapolis,Indiana,USA:IEEE Press,2003.174-181.
[9] Mendes R,Kennedy J,Neves J.The fully informed particle swarm-simpler,maybe better[J].IEEE Transactions on Evolutionary Computation,2004,8(3):204-210.
[10] Liang J J,Qin A K,Suganthan P N,et al.Comprehensive learning particle swarm optimizer for global optimization of multimodal functions[J].IEEE Transaction on Evolutionary Computation,2006,10(3):281-295.
[11] Li Y H,Zhan Z H,Lin S,et al.Competitive and cooperative particle swarm optimization with information sharing mechanism for global optimization problems[J].Information Sciences,2015,293(3):370-382.
[12] Jin X,Liang Y Q,Tian D P,et al.Particle swarm optimization using dimension selection methods[J].Applied Mathematics and Computation,2013,219:5185-5197.
[13] 夏学文,桂凌,戴志锋等,基于多尺度选择性学习和探测-收缩机制的PSO算法[J].电子学报,2016,44(5):1090-1100. XIA Xue-wen,GUI Ling,DAI Zhi-feng et al.A PSO algorithm based on multiscale-selective-learning and detecting-shrink strategies[J].Acta Electronica Sinica,2016,44(5):1090-1100.(in Chinese)
[14] Liu Q,Wei W,Yuan H,et al.Topology selection for particle swarm optimization[J].Information Sciences,2016,363(1):154-173.
[15] Angeline P J.Using selection to improve particle swarm optimization[A].Proceedings of IEEE International Conference on Evolutionary Computation[C].Alaska,USA:IEEE Press,1998.84-89.
[16] Higashi H,Iba H.Particle swarm optimization with gaussian mutation[A].Proceedings of IEEE swarm intelligence symposium[C].Indianapolis,Indiana,USA:IEEE Press,2003.72-79.
[17] Xin B,Chen J,Peng Z H,et al.An adaptive hybrid optimizer based on particle swarm and differential evolution for global optimization[J].Science China (Information Sciences),2010,53(5):980-989.
[18] 周新宇,吴志建,王晖等,一种精英反向学习的粒子群算法[J].电子学报,2013,41(8):1647-1652. Zhou Xin-yu,Wu Zhi-jian,Wang Hui et al.Elite opposition-based particle swarm optimization[J].Acta Electronica Sinica,2013,41(8):1647-1652.(in Chinese)
[19] 喻飞,李元香,魏波等,透镜成像反学习策略在粒子群算法中的应用[J].电子学报,2014,42(2):230-235. Yu Fei,Li Yuan-xiang,Wei Bo et al.The Application of a Novel OBL based on lens imaging principle in PSO[J].Acta Electronica Sinica,2014,42(2):230-235.(in Chinese)
[20] Xia X W,Liu J N,Hu Z B.An improved particle swarm optimizer based on tabu detecting and local learning strategy in a shrunk search space[J].Applied Soft Computing,2014,23:76-90.
[21] 刘朝华,李小花,章兢,精英免疫克隆选择的协同进化粒子群算法[J].电子学报,2013,41(11):2167-2173. LIU Zhao-hua,LI Xiao-hua,ZHANG Jing.Co-evolutionary particle swarm optimization algorithm based on elite immune clonal selection[J].Acta Electronica Sinica,2013,41(11):2167-2173.(in Chinese)
[22] Xia X W,Xie C W,Wei B,et al.Particle swarm optimization using multi-level adaptation and purposeful detection operators[J].Information Sciences,2017,385:174-195.
[23] Liang J J,Qu B Y,Suganthan P.N.Problem definitions and evaluation criteria for the CEC 2013 special session on real-parameter optimization[R].Nanyang Technological Univ,Singapore,2013. |