Ant colony optimization (ACO)The total weighted completion timeThis paper aims at the problem of scheduling a set of jobs with arbitrary sizes on parallel batch processing machines with arbitrary capacities. The optimization objective is to minimize the total weighted completion time of jobs. After ...
White T, Kaegi S, Oda T. Revisiting elitism in ant colony optimi- zation. In: Proceedings of the genetic and evolutionary computation conference, GECCO 2003, Chicago, IL, USA; 2003. p. 122-33.White, T., Kaegi, S., Oda, T.: Revisiting elitism in ant colony optimization. In: Cantu-...
This paper presents the performance ant collective intelligence efficiency for electrical network. Solutions for Optimal Power Flow (OPF) problem of a power system deliberate via an ant colony optimization metaheuristic method. The objective is to minimize the total fuel cost of thermal generating units...
I wasn’t aware of ant colony optimization (ACO) as a technique for shortest path finding in a graph. Seeing this paper prompted me to first take a short random walk (no pun intended!) on the internet to learn more. Wikipedia was a good place to start as always. In nature ants find...
Ant Colony Optimization (ACO) is a metaheuristic that is inspired by the pheromone trail laying and following behavior of some ant species. Artificial ants in ACO are stochastic solution construction procedures that build candidate solutions for the problem instance under concern by exploiting (artificia...
Ant colony Optimization: A Solution of Load balancing in Cloud Ratan Mishra,Anant Jaiswal Keywords: Cloud computing , Load balance , Ant colony optimization , Swarm intelligence Full-Text Cite this paper Add to My Lib Abstract: As the cloud computing is a new style of computing over intern...
The paper proposes a new ant colony optimization (ACO) approach, called binary ant system (BAS), to multidimensional Knapsack problem (MKP). Different from other ACO-based algorithms applied to MKP, BAS uses a pheromone laying method specially designed for the binary solution structure, and allows...
Ant colony optimization (ACO)Meta-heuristicsIntelligent optimization methods of production systemsThe paper raises the issue of adapting the logistics processes to the changes in the manufacturing area. The continuous improvement of production processes enforces searching for better solutions for the milk ...
In this paper, we propose a quantum-inspired ant colony optimization algorithm (QACO) to predict missing links in networks, which integrates ant colony optimization and quantum computing28. To sum up, our contributions are three-folds. First, based on the assumption that the pheromone of artifici...
cult optimization problems [3]. The best performing ACO algorithm for the DVRP is the ACS [13]. There is a multi-colony variation of this algorithm applied to the VRP with time windows [5]. However, in this paper we consider the single colony which has been applied to the DVRP [13]....