A survey: Ant Colony Optimization based recent research and implementation on several engineering domain
BC Mohan, R Baskaran - Expert Systems with Applications, 2012 - Elsevier
Ant Colony Optimization (ACO) is a Swarm Intelligence technique which inspired from the
foraging behaviour of real ant colonies. The ants deposit pheromone on the ground in order …
foraging behaviour of real ant colonies. The ants deposit pheromone on the ground in order …
Predicting standardized streamflow index for hydrological drought using machine learning models
S Shamshirband, S Hashemi, H Salimi… - Engineering …, 2020 - Taylor & Francis
Hydrological droughts are characterized based on their duration, severity, and magnitude.
Among the most critical factors, precipitation, evapotranspiration, and runoff are essential in …
Among the most critical factors, precipitation, evapotranspiration, and runoff are essential in …
Application of a-star algorithm on pathfinding game
Pathfinding is the method for determining the shortest path. Pathfinding is widely used in
various fields of Computer Science. One of them is game development. This research will …
various fields of Computer Science. One of them is game development. This research will …
Methodology of using terrain passability maps for planning the movement of troops and navigation of unmanned ground vehicles
The determination of the route of movement is a key factor which enables navigation. In this
article, the authors present the methodology of using different resolution terrain passability …
article, the authors present the methodology of using different resolution terrain passability …
Survey on recent research and implementation of ant colony optimization in various engineering applications
Ant colony optimization (ACO) takes inspiration from the foraging behaviour of real ant
species. This ACO exploits a similar mechanism for solving optimization problems for the …
species. This ACO exploits a similar mechanism for solving optimization problems for the …
Best path in mountain environment based on parallel A* algorithm and Apache Spark
Pathfinding problem has several applications in our life and widely used in virtual
environments. It has different goals such as shortest path, secure path, or optimal path …
environments. It has different goals such as shortest path, secure path, or optimal path …
Prediction of flow characteristics in the bubble column reactor by the artificial pheromone-based communication of biological ants
S Shamshirband, M Babanezhad… - … of computational fluid …, 2020 - Taylor & Francis
A novel combination of the ant colony optimization algorithm (ACO) and computational fluid
dynamics (CFD) data is proposed for modeling the multiphase chemical reactors. The …
dynamics (CFD) data is proposed for modeling the multiphase chemical reactors. The …
Liquid temperature prediction in bubbly flow using ant colony optimization algorithm in the fuzzy inference system as a trainer
In the current research paper a novel hybrid model combining first-principle and artificial
intelligence (AI) was developed for simulation of a chemical reactor. We study a 2 …
intelligence (AI) was developed for simulation of a chemical reactor. We study a 2 …
Real-time cloud-based game management system via cuckoo search algorithm
This paper analyses the idea of applying Swarm Intelligence in the process of managing the
entire 2D board game in a real-time environment. For the proposed solution Game …
entire 2D board game in a real-time environment. For the proposed solution Game …
A study on Bee algorithm and A* algorithm for pathfinding in games
AN Sabri, NHM Radzi, AA Samah - 2018 IEEE Symposium on …, 2018 - ieeexplore.ieee.org
Pathfinding is essential and necessary for agent movement used in computer games and
many other applications. A primary concern of pathfinding is to find the shortest feasible …
many other applications. A primary concern of pathfinding is to find the shortest feasible …