Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
An Electromagnetism-like Mechanism for Global Optimization
Journal of Global Optimization
Physicomimetics for Mobile Robot Formations
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
A global optimization based on physicomimetics framework
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
CIS '09 Proceedings of the 2009 International Conference on Computational Intelligence and Security - Volume 02
An Extended Artificial Physics Optimization Algorithm for Global Optimization Problems
ICICIC '09 Proceedings of the 2009 Fourth International Conference on Innovative Computing, Information and Control
On mass effects to artificial physics optimisation algorithm for global optimisation problems
International Journal of Innovative Computing and Applications
The vector model of artificial physics optimization algorithm for global optimization problems
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
The intelligent water drops algorithm: a nature-inspired swarm-based optimization algorithm
International Journal of Bio-Inspired Computation
An overview of physicomimetics
SAB'04 Proceedings of the 2004 international conference on Swarm Robotics
Two formal gas models for multi-agent sweeping and obstacle avoidance
FAABS'04 Proceedings of the Third international conference on Formal Approaches to Agent-Based Systems
International Journal of Wireless and Mobile Computing
A new stochastic algorithm to direct orbits of chaotic systems
International Journal of Computer Applications in Technology
Cellular automata based nearest neighbour rule condensation
International Journal of Computer Applications in Technology
International Journal of Bio-Inspired Computation
International Journal of Computer Applications in Technology
Artificial physics optimisation algorithm guided by diversity
International Journal of Computer Applications in Technology
Swarm robots search based on artificial physics optimisation algorithm
International Journal of Computing Science and Mathematics
Modelling and solving for ready-mixed concrete scheduling problems with time dependence
International Journal of Computing Science and Mathematics
Pair-copula estimation of distribution algorithms
International Journal of Computing Science and Mathematics
Bio-inspired optimisation approach for data association in target tracking
International Journal of Wireless and Mobile Computing
Hybrid ABC/PSO to solve travelling salesman problem
International Journal of Computing Science and Mathematics
The model of swarm robots search with local sense based on artificial physics optimisation
International Journal of Computing Science and Mathematics
Bio-inspired computation: success and challenges of IJBIC
International Journal of Bio-Inspired Computation
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As a new swarm intelligence algorithm, artificial physics optimisation (APO) is based on physicomimetics to solve global optimisation problems. A relationship of mapping between AP approach and population-based optimisation algorithm is constructed by comparing the similarities and differences of physical individual and ideal particle. Each particle is treated as physical individual with mass, position and velocity. Force law and mass function are preliminary analysed through providing several selection strategies. The convergent condition of APO is derived by theoretically analysing. The vector model of APO is constructed, an extended APO including each individual's best history position and a local APO with some simple topologies are presented inspired by the useful experiences and limited sense and interaction among individuals in swarm foraging processes. The implementations of APO and its improvements are applied to multidimensional numeric benchmark functions and the simulation results confirm APO is effective.