Results 91 to 100 of about 8,500 (224)

An Estimation of Distribution Particle Swarm Optimization Algorithm [PDF]

open access: yes, 2006
In this paper we present an estimation of distribution par-ticle swarm optimization algorithm that borrows ideas from recent de-velopments in ant colony optimization.
Iqbal, Mudassar   +5 more
core   +1 more source

A Universal Meta‐Heuristic Framework for Influence Maximisation in Hypergraphs

open access: yesCAAI Transactions on Intelligence Technology, Volume 11, Issue 2, Page 396-410, April 2026.
ABSTRACT Influence maximisation (IM) aims to select a small number of nodes that are able to maximise their influence in a network and covers a wide range of applications. Despite numerous attempts to provide effective solutions in simple networks, higher‐order interactions between entities in various real‐world systems are usually not taken into ...
Ming Xie   +5 more
wiley   +1 more source

KOMPARASI METODE ANT COLONY OPTIMIZATION DENGAN TABU SEARCH UNTUK PENJADWALAN PERKULIAHAN

open access: yesMatrix: Jurnal Manajemen Teknologi dan Informatika, 2016
Masalah penjadwalan kuliah merupakan masalah yang sangat kompleks. Inti penjadwalan tersebut adalah menjadwalkan beberapa komponen yang terdiri dari mahasiswa, dosen, ruang, waktu, dan matakuliah dengan memerhatikan sejumlah batasan dan syarat ...
Komang Ayu Triana Indah Triana Indah
doaj  

Flow Shop Scheduling Using a Combination of Ant Colony Optimization Algorithm and Tabu Search Algorithm to Minimize Total Tardiness

open access: yesJurnal Teknik Industri: Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri
This paper addresses the problem of production tardiness on five parallel production floors at PT Garmen X, each with an identical machine arrangement.
Hana Merlina Hesti Bestari   +2 more
doaj   +1 more source

An Improved Ant Colony Algorithm for Continuous Optimization Based on Levy Flight

open access: yesChemical Engineering Transactions, 2016
Ant colony optimization (ACO) is proposed on the study of the foraging behavior of ants on the basis of the proposed and widely used in the optimization. However, it has some shortcoming such as longer time, hardly implement and local optimal etc.
H.Z. Wang, C.G. Liang
doaj   +1 more source

Improving the interpretability of classification rules discovered by an ant colony algorithm. [PDF]

open access: yes, 2013
The vast majority of Ant Colony Optimization (ACO) al- gorithms for inducing classification rules use an ACO-based procedure to create a rule in an one-at-a-time fashion. An improved search strategy has been proposed in the cAnt- MinerPB algorithm, where
Otero, Fernando E.B.   +3 more
core   +1 more source

Quasi Opposition–Based Learning With Artificial Rabbit Optimization for Feature Selection of Breast Cancer

open access: yesEngineering Reports, Volume 8, Issue 3, March 2026.
Workflow of proposed QOBL‐ARO with GS‐SVM method for BC using mammogram images. ABSTRACT Mammogram images are the most appropriate modality for breast cancer (BC) diagnosis which supports early diagnosis in women. However, the handcrafted features are insufficient for effective BC classification, which negatively impacts the model's accuracy and leads ...
Bassamma Patil   +2 more
wiley   +1 more source

Performance analysis for network coding using ant colony routing

open access: yes, 2011
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.The aim of this thesis is to conduct performance investigation of a combined system of Network Coding (NC) technique with Ant-Colony (ACO) routing protocol.
Sabri, Dalia
core  

Tomtit‐Raven Evolutionary Selector‐Reinforced Attention‐Driven: A High‐Performance and Computationally Efficient Cyber Threat Detection Framework for Smart Grids

open access: yesEnergy Science &Engineering, Volume 14, Issue 3, Page 1431-1455, March 2026.
Overview of the proposed work. ABSTRACT Identifying cyber threats maintains the security and operational stability of smart grid systems because they experience escalating attacks that endanger both operating data reliability and system stability and electricity grid performance.
Priya R. Karpaga   +3 more
wiley   +1 more source

TABU SEARCH SEBAGAI LOCAL SEARCH PADA ALGORITMA ANT COLONY UNTUK PENJADWALAN FLOWSHOP

open access: yesJurnal Teknik Industri, 2009
Ant colony optimization (ACO) is one of the meta-heuristic methods developed for finding solutions to optimization problems such as scheduling. Local search method is one part of the ACO which determines the quality of the resulting solution.
Iwan Halim Sahputra   +2 more
doaj  

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