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Pencarian Rute Optimal Distribusi Melalui Pendekatan Metode Ant Colony Optimization (ACO)

Jurnal Teknologi dan Manajemen Industri Terapan, 2023
Bakpia Pathok 25 merupakan perusahaan yang memproduksi makan khas jogja yaitu bakpia dan telah berdiri sejak 1948. Sampai saat ini Bakpia Pathok 25 masih menjadi salah satu produsen bakpia yang enak dan terkenal di Yogyakarta sehingga dapat berkembang dan bertahan sampai saat ini.
Lutfi Syahr, Moch Khoswara, Habibi Siraj Aflah H, Suseno Suseno   +3 more
openaire   +1 more source

Optimum Design of Power System Stabilizer based on Improved Ant Colony Optimization Algorithm

Journal of Engineering, 2018
This paper presents an improved technique on Ant Colony Optimization (ACO) algorithm. The procedure is applied on Single Machine with Infinite Bus (SMIB) system with power system stabilizer (PSS) at three different loading regimes.
Ruba AL-MulaHumadi, Nizar Hadi Abbas, Mohanad Azeez Joodi   +2 more
doaj   +2 more sources

An ACO model for a non-stationary formulation of the single elevator problem

Journal of Computer Science and Technology, 2007
The Ant Colony Optimization (ACO) metaheuristic is a bio-inspired approach for hard combinatorial optimization problems for stationary and non-stationary environments.
Silvia Molina, Mario Guillermo Leguizamón, Enrique Alba Torres   +2 more
doaj  

Edge detection in digital images using Ant Colony Optimization [PDF]

Computer Science Journal of Moldova, 2015
Ant Colony Optimization (ACO) is an optimization algorithm inspired by the behavior of real ant colonies to approximate the solutions of difficult optimization problems. In this paper, ACO is introduced to tackle the image edge detection problem.
Marjan Kuchaki Rafsanjani, Zahra Asghari Varzaneh   +1 more
doaj  

Path Planning of an autonomous Mobile Robot using Swarm Based Optimization Techniques

Al-Khawarizmi Engineering Journal, 2017
This paper presents a meta-heuristic swarm based optimization technique for solving robot path planning. The natural activities of actual ants inspire which named Ant Colony Optimization.
Ibraheem Kasim Ibraheem, Fatin Hassan Ajeil   +1 more
doaj   +1 more source

APPLICATION OF ANT COLONY OPTIMIZATION (ACO) FOR DESIGNING A HYBRID SYSTEM

International Journal Of Engineering & Applied Sciences, 2014
Inspired by the behavior of ants seeking the shortest path between their nest and a food source, ant colony optimization (ACO) is the most popular technique to effectively solve combinatorial optimization problems. Combinatorial optimization is a branch of optimization which is concerned with the optimization of functions with discrete decision ...
openaire   +2 more sources

Adaptive Genetic Algorithm Integrated with Ant Colony Optimization for Multi-Task Agricultural Machinery Scheduling

Agriculture
Efficient scheduling of agricultural machinery is critical for optimizing resource utilization and reducing operational costs in modern farming operations. This study proposes an Adaptive Genetic Algorithm integrated with Ant Colony Optimization (AGA-ACO)
Li Dai, Zhikai Jin, Xiong Zhao, Xiaoqiang Du, Zenghong Ma   +4 more
doaj   +1 more source

Ant Colony Optimization (ACO) for Traveling Salesman Problem: A Review

Asian Journal of Research in Computer Science
The traveling salesman problem (TSP) is a fundamental combinatorial optimization problem with applications in resource management, logistics, and communications. In order to address TSP and its differences, this paper discusses developments in Ant Colony Optimization (ACO), a biologically inspired algorithm.
Warveen Merza Eido, Ibrahim Mahmood Ibrahim   +1 more
openaire   +1 more source

ACO Modeling: Organizational Modeling of an Ant Multi-Colonies Optimization Approach

International Journal of Computer Applications, 2015
This paper describes the organizational modeling of the Ant Colony Optimization (ACO). It presents a modeling approach of the ACO based on Holonic Multi-Agent paradigm named (Holonic MultiAgent Systems: HMAS). The approach of modeling used is organizational and it uses four basic concepts: Capacity, Role, Interaction and Organization (CRIO).
Emmanuel Tonye, Elie TagneFute
openaire   +1 more source

Differential-Evolution-Based Coevolution Ant Colony Optimization Algorithm for Bayesian Network Structure Learning

Algorithms, 2018
Learning the Bayesian networks (BNs) structure from data has received increasing attention. Many heuristic algorithms have been introduced to search for the optimal network that best matches the given training data set. To further improve the performance
Xiangyin Zhang, Yuying Xue, Xingyang Lu, Songmin Jia   +3 more
doaj   +1 more source