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ORCIDInternational Journal of Bio-Inspired Computation (IJBIC), Volume 1
Volume 1, Numbers 1/2, 2009
- Roderich Groß
, Marco Dorigo:
Towards group transport by swarms of robots. 1-13 - Gajula Ramana Murthy, M. Senthil Arumugam, Chu Kiong Loo:
Hybrid particle swarm optimization algorithm with fine tuning operators. 14-31 - Konstantinos E. Parsopoulos, Fotini Kariotou, George Dassios, Michael N. Vrahatis:
Tackling magnetoencephalography with particle swarm optimization. 32-49 - Xingjuan Cai, Yan Cui, Ying Tan:
Predicted modified PSO with time-varying accelerator coefficients. 50-60 - Qi Kang, Lei Wang, Qidi Wu:
Swarm-based approximate dynamic optimization process for discrete particle swarm optimization system. 61-70 - Hamed Shah-Hosseini:
The intelligent water drops algorithm: a nature-inspired swarm-based optimization algorithm. 71-79 - Xiaolei Wang, Xiao Zhi Gao, Seppo J. Ovaska:
Fusion of clonal selection algorithm and harmony search method in optimisation of fuzzy classification systems. 80-88 - Suash Deb:
A novel alternative to conventional machine vision features. 89-92 - Teresa Bernarda Ludermir, Marcílio Carlos Pereira de Souto, Wilson Rosa de Oliveira:
On a hybrid weightless neural system. 93-104 - Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, Duncan D. Ruiz, Alex Alves Freitas:
Lexicographic multi-objective evolutionary induction of decision trees. 105-117 - Aladdin Ayesh:
Swarms-based emotions modelling. 118-124 - Arash Khabbazi, Esmaeil Atashpaz-Gargari, Caro Lucas:
Imperialist competitive algorithm for minimum bit error rate beamforming. 125-133
Volume 1, Number 3, 2009
- Rajendra Akerkar, Priti Srinivas Sajja:
Bio-inspired computing: constituents and challenges. 135-150 - Songdong Xue, Jianhua Zhang, Jianchao Zeng:
Parallel asynchronous control strategy for target search with swarm robots. 151-163 - Celso De La Cruz, Teodiano Freire Bastos-Filho, Hector D. Patiño, Ricardo O. Carelli:
Evolving hardware using a new evolutionary algorithm based on evolution of a species. 164-176 - Sanyou Zeng, Yang Yang, Yulong Shi, Xianqiang Yang, Bo Xiao, Song Gao, Danpin Yu, Zu Yan:
A micro niche evolutionary algorithm with lower-dimensional-search crossover for optimisation problems with constraints. 177-185 - Massimiliano Vasile:
A memetic multi-agent collaborative search for space trajectory optimisation. 186-197 - M. Senthil Arumugam, Gajula Ramana Murthy, Chu Kiong Loo:
On the optimal control of the steel annealing processes as a two-stage hybrid systems via PSO algorithms. 198-209 - Xingjuan Cai, Ying Tan:
A study on the effect of vmax in particle swarm optimisation with high dimension. 210-216
Volume 1, Number 4, 2009
- Richard A. Formato:
Central force optimisation: a new gradient-like metaheuristic for multidimensional search and optimisation. 217-238 - James F. Peters:
Tolerance near sets and image correspondence. 239-245 - Sheng Chen, Xia Hong, Bing Lam Luk, Chris J. Harris:
Non-linear system identification using particle swarm optimisation tuned radial basis function models. 246-258 - Rajesh Kumar, Devendra Sharma, Anupam Kumar:
A new hybrid multi-agent-based particle swarm optimisation technique. 259-269 - Qin Ming Liu, Wenyuan Lv:
The forecasting residual life of underground pipeline based on particle swarm optimisation algorithm. 270-275 - S. N. Sivanandam, P. Visalakshi:
Dynamic task scheduling with load balancing using parallel orthogonal particle swarm optimisation. 276-286
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