Ant colony optimisation and local search for bin-packing and cutting stock problems
The Bin Packing Problem and the Cutting Stock Problem are two related classes of NP-hard combinatorial optimization problems. Exact solution methods can only be used for very small instances, so for real-world problems, we have to rely on heuristic ...
Levine, J +3 more
core +1 more source
Optimum buckling design of composite stiffened panels using ant colony algorithm [PDF]
Optimal design of laminated composite stiffened panels of symmetric and balanced layup with different number of T-shape stiffeners is investigated and presented. The stiffened panels are simply supported and subjected to uniform biaxial compressive load.
Wang, Wei +3 more
core +1 more source
ABSTRACT Objectives The Oral Health Impact Profile (OHIP) is the most widely used instrument to measure the subjective impact of oral conditions. This study reports the shortening and psychometric evaluation of an ultra‐short version (OHIP‐7A) from the OHIP‐14 in a large national Australian population.
Brandan Khor +6 more
wiley +1 more source
Pencarian Rute Optimal Distribusi Melalui Pendekatan Metode Ant Colony Optimization (ACO)
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 +3 more
openaire +1 more source
Comparative Metaheuristic Optimization of PI Controllers for Electric Vehicle Speed Control
This paper presents the design, modeling, and simulation validation of an electric vehicle system, using speed variation as a reference to ensure optimal operation in terms of acceleration and deceleration. First, a conventional PI controller controls the vehicle's speed.
Samira Heroual +8 more
wiley +1 more source
A Study of Different Quality Evaluation Functions in the cAnt-MinerPB Classification Algorithm [PDF]
Ant colony optimization (ACO) algorithms for classification in general employ a sequential covering strategy to create a list of classification rules.
Otero, Fernando E.B. +3 more
core +1 more source
Recommender Systems: Taxonomy, Applications and Current Research Trends
Integrating taxonomy, application developments, open‐source software, and publication trends, this paper identifies and outlines promising future directions for recommender systems research. ABSTRACT Recommender Systems play an essential role in assisting users to navigate the immense amount of information and services available online, aiding them in ...
Daniel Ranchal‐Parrado +2 more
wiley +1 more source
An ACO model for a non-stationary formulation of the single elevator problem
The Ant Colony Optimization (ACO) metaheuristic is a bio-inspired approach for hard combinatorial optimization problems for stationary and non-stationary environments.
Silvia Molina +2 more
doaj
Path Planning of an autonomous Mobile Robot using Swarm Based Optimization Techniques
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 +1 more
doaj +1 more source
APPLICATION OF ANT COLONY OPTIMIZATION (ACO) FOR DESIGNING A HYBRID SYSTEM
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

