The contrasted algorithms include: (1) the ACO method36, (2) the Ant colony optimization-selection algorithm40 (ACO-S), and (3) the ACO-based method42 (AM). Following the given experimental techniques36,40,42, the related parameters for the three models can be found in their references,...
4. Proposed ant colony optimization algorithm Ants and some species of bees live in large groups called colonies. Insect swarms can work together to resolve problems that none of the members of the swarm could solve on their own. The ACO algorithm is an excellent example of swarm intelligence ...
Optimal reactive power dispatch using ant colony optimization algorithm Electr. Eng., 93 (2011), pp. 103-116, 10.1007/s00202-011-0196-4 View in ScopusGoogle Scholar [25] P. Kessel, H. Glavitsch Estimating the voltage stability of a power system IEEE Trans. Power Deliv., 1 (1986), pp...
To address this problem, a multi-colony ant optimization with dynamic collaborative mechanism and cooperative game is proposed. Firstly, Ant Colony System and Max–Min Ant System form heterogeneous colonies. Secondly, to diversify the solutions of the algorithm, the Shapley value in the cooperative ...
Liquid temperature prediction in bubbly flow using ant colony optimization algorithm in the fuzzy inference system as a trainer Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Amir Heydarinasab & Saeed Shirazian Scientific Reports volume 10, Article number: 21884 (...
Therefore, through the improvement and optimization of the ant colony algorithm, it is very suitable for solving and optimizing the intelligent supply chain system of agricultural products. 1. Introduction In this paper, based on the construction of the intelligent supply chain system for agricultural...
Sharma V, Grover A (2016) A modified ant colony optimization algorithm (MACO) for energy efficient wireless sensor networks. Optik 127(4):2169–2172 14. Liu L, Xing J, Yang Q, Luo Y (2017) Design of large-displacement compliant mechanisms by topology optimization incorporat- ing modified ...
Finally, the ant colony algorithm has a widely criticized shortcoming: it is easy to fall into a local optimum. Therefore, improvement 3 is introduced, which is used to jump out of the local optimum. Figure 1 shows a simplified flowchart of the AHACO, in which the thick border indicates ...
Sections 4 Ant colony optimization algorithm:, 5 Simulation procedure and interpretation: on the description of the new ACO-DTC control strategy and simulation of the ACO-DTC control on Matlab/Simulink, and Section 6 on the implementation of the proposed ACO-DTC strategy on the dSPACE DS1104 ...
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