Multiagent diffusion and distributed optimization
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Extending self-organizing particle systems to problem solving
Artificial Life
Collective-movement teams for cooperative problem solving
Integrated Computer-Aided Engineering - Performance Metrics for Intelligent Systems
Engineering Applications of Artificial Intelligence
Theoretical foundations for rendezvous of glowworm-inspired agent swarms at multiple locations
Robotics and Autonomous Systems
A software tool for teaching of particle swarm optimization fundamentals
Advances in Engineering Software
Cooperative Approaches to Bacterial Foraging Optimization
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Glowworm swarm optimisation: a new method for optimising multi-modal functions
International Journal of Computational Intelligence Studies
Adaptive Tabu Search and Applications in Engineering Design
Proceedings of the 2006 conference on Integrated Intelligent Systems for Engineering Design
Cooperative bacterial foraging algorithm for global optimization
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Group search optimizer: an optimization algorithm inspired by animal searching behavior
IEEE Transactions on Evolutionary Computation
RFID network planning using a multi-swarm optimizer
Journal of Network and Computer Applications
A PSO-based bacterial chemotaxis algorithm and its application
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part III
A positivity-preserving finite element method for chemotaxis problems in 3D
Journal of Computational and Applied Mathematics
A multidimensional scaling localisation algorithm based on bacterial foraging optimisation
International Journal of Wireless and Mobile Computing
A bacterial colony chemotaxis algorithm with self-adaptive mechanism
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
An improved bacterial colony chemotaxis multi-objective optimisation algorithm
International Journal of Computing Science and Mathematics
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We present an optimization algorithm based on a model of bacterial chemotaxis. The original biological model is used to formulate a simple optimization algorithm, which is evaluated on a set of standard test problems. Based on this evaluation, several features are added to the basic algorithm using evolutionary concepts in order to obtain an improved optimization strategy, called the bacteria chemotaxis (BC) algorithm. This strategy is evaluated on a number of test functions for local and global optimization, compared with other optimization techniques, and applied to the problem of inverse airfoil design. The comparisons show that on average, BC performs similar to standard evolution strategies and worse than evolution strategies with enhanced convergence properties