Results 71 to 80 of about 100,368 (278)
Applications of Bee Colony Optimization [PDF]
, 2013 Many computationally difficult problems are attacked using non-exact algorithms, such as approximation algorithms and heuristics. This thesis investigates an ex- ample of the latter, Bee Colony Optimization, on both an established optimization problem in
CHALK, AIDAN BERNARD GERARD
core
A review of training methods of ANFIS for applications in business and economic [PDF]
, 2016 Fuzzy Neural Networks (FNNs) techniques have been effectively used in applications that range from medical to mechanical engineering, to business and economics.
Hussain, Kashif, Mohd Salleh, Mohd Najib
core +1 more source
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
Advanced Intelligent Discovery, EarlyView.The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source
An Improved Chemical Reaction Optimization Algorithm Based on Ant Colony Algorithm
Chemical Engineering Transactions, 2018 With the rapid development of computer technology, more and more research organizations and enterprises have turned their attentions from artificial intelligence algorithm to multi-task scheduling.
Lei Song
doaj +1 more source
Comparison between ant colony and genetic algorithm using traveling salesman problem [PDF]
, 2013 The Travelling Salesman Problem (TSP) is a complex problem in combinatorial optimization. The aim of this study is compare the effect of using two distributed algorithm which are ant colony as a Swarm intelligence algorithm and genetic algorithm.
A. Jabar, Marzanah +2 more
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MusicSwarm: Biologically Inspired Intelligence for Music Composition
Advanced Intelligent Systems, EarlyView.Biologically inspired swarms of frozen foundation models self‐organize to compose complex music without fine‐tuning. By coordinating through stigmergic signals, decentralized agents dynamically evolve specialized roles and adapt to solve complex tasks.
Markus J. Buehler
wiley +1 more source
Improved Ant Algorithms for Software Testing Cases Generation
The Scientific World Journal, 2014 Existing ant colony optimization (ACO) for software testing cases generation is a very popular domain in software testing engineering. However, the traditional ACO has flaws, as early search pheromone is relatively scarce, search efficiency is low ...
Shunkun Yang, Tianlong Man, Jiaqi Xu
doaj +1 more source
Collision Avoidance Planning Method of USV Based on Improved Ant Colony Optimization Algorithm
IEEE Access, 2019 In order to solve the problem of insufficient search ability of the unmanned surface vehicle (USV) collision avoidance planning algorithm, this paper proposes an improved ant colony optimization algorithm (ACO).
Hongjian Wang +4 more
semanticscholar +1 more source
Process control using genetic algorithm and ant colony optimization algorithm
Journal of Intelligent & Fuzzy Systems, 2014 Artificial life uses biological knowledge and techniques to solve different engineering, management, control and computational problems. Natural systems teach us that very simple individual organisms can form systems capable of performing highly complex tasks by dynamically interacting with each other.
Erguzel, Turker Tekin, Akbay, Erbil
openaire +3 more sources
Advanced Intelligent Systems, EarlyView.Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source