Search Results - (( solution colony optimization algorithm ) OR ( java application learning algorithm ))
Search alternatives:
- application learning »
- learning algorithm »
- java application »
-
1
A hybrid algorithm based on artificial bee colony and artificial rabbits optimization for solving economic dispatch problem
Published 2023“…This algorithm synergizes the ABC algorithm and Artificial Rabbits Optimization (ARO) algorithm. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
2
Power line faults classification by neural network train by Ant Colony Optimization
Published 2017“…The characteristic of ACO algorithms is their explicit use of elements of previous solutions. …”
Get full text
Get full text
Student Project -
3
Interacted multiple ant colonies optimization approach to enhance the performance of ant colony optimization algorithms
Published 2010“…The proposed approach outperforms the single colony ant algorithms in term of solution quality with the same computational effort.…”
Get full text
Get full text
Get full text
Article -
4
The design and applications of the african buffalo algorithm for general optimization problems
Published 2017“…Some of the successfully designed stochastic algorithms include Simulated Annealing, Genetic Algorithm, Ant Colony Optimization, Particle Swarm Optimization, Bee Colony Optimization, Artificial Bee Colony Optimization, Firefly Optimization etc. …”
Get full text
Get full text
Thesis -
5
Interacted Multiple Ant Colonies for Search Stagnation Problem
Published 2010“…ACO algorithms generate a good solution at the early stages of the algorithm execution but unfortunately let all ants speedily converge to an unimproved solution. …”
Get full text
Get full text
Get full text
Thesis -
6
Surface roughness optimization based on hybrid harmony search and artificial bee colony algorithm in electric discharge machining process
Published 2023“…Electric discharges; Optimal systems; Optimization; Surface roughness; Artificial bee colonies (ABC); Artificial bee colony algorithms; Convergence rates; Electric discharge machining (EDM); Hybrid approach; Numerical applications; Optimal solutions; Surface roughness (Ra); Electric discharge machining…”
Conference Paper -
7
Artificial bee colony algorithm with proposed discrete nearest neighborhood algorithm for discrete optimization problems
Published 2021“…To reduce the optimization time of the tours created by the artificial bee colony algorithm, the fixed-radius near neighbor 2-opt algorithm was used as well. …”
Get full text
Get full text
Get full text
Article -
8
Seed disperser ant algorithm for optimization / Chang Wen Liang
Published 2018“…New young queens are produced by the colony that migrates to establish new colonies after local optimum solution reached to start new local search. …”
Get full text
Get full text
Get full text
Thesis -
9
Hybrid ant colony optimization algorithm for container loading problem
Published 2012“…This approach is called, the Hybrid Ant Colony Optimization with Tower Building Heuristic (HACO). …”
Get full text
Get full text
Thesis -
10
An improved artificial bee colony algorithm for training multilayer perceptron in time series prediction
Published 2014“…They are: Global Guided Artificial Bee Colony (GGABC), Improved Gbest Guided Artificial Bee Colony (IGGABC) and Artificial Smart Bee Colony (ASBC) algorithm. …”
Get full text
Get full text
Get full text
Thesis -
11
Applying DACS3 in the Capacitated Vehicle Routing Problem
Published 2010“…Several versions of Ant Colony Optimization (ACO) algorithms have been proposed which aim to achieve an optimum solution includes Dynamic Ant Colony System with Three Level Updates (DACS3). …”
Get full text
Get full text
Conference or Workshop Item -
12
An empirical study of density and distribution functions for ant swarm optimized rough reducts
Published 2011“…Ant colony approach in Ant Swarm algorithm generates local solutions which satisfy the Gaussian distribution for global optimization using PSO algorithm. …”
Get full text
Get full text
Get full text
Book Chapter -
13
Formulation of metaheuristic algorithms based on artificial bee colony for engineering problems
Published 2024“…The Artificial Bee Colony (ABC) algorithm is a powerful metaheuristic optimization technique inspired by the honeybee foraging behaviour. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
14
Enhancing Solutions Of Capacity Vehicle Routing Problem Based On An Improvement Ant Colony System Algorithm
Published 2019“…The paper aims to discover an optimal route for VRP by using Improvement Ant Colony System Algorithm (IACS). …”
Get full text
Get full text
Get full text
Article -
15
Performance Enhancement Of Artificial Bee Colony Optimization Algorithm
Published 2013“…Artificial Bee Colony (ABC) algorithm is a recently proposed bio-inspired optimization algorithm, simulating foraging phenomenon of honeybees. …”
Get full text
Get full text
Thesis -
16
Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
Get full text
Get full text
Get full text
Monograph -
17
Ant colony optimization for capacitated vehicle routing problem.
Published 2012“…Approach: This problem was tackled using an Ant Colony Optimization (ACO) combined with heuristic approaches that act as the route improvement strategies. …”
Get full text
Get full text
Get full text
Article -
18
-
19
An enhanced swap sequence-based particle swarm optimization algorithm to solve TSP
Published 2021“…Since there is no known polynomial-time algorithm for solving large scale TSP, metaheuristic algorithms such as Ant Colony Optimization (ACO), Bee Colony Optimization (BCO), and Particle Swarm Optimization (PSO) have been widely used to solve TSP problems through their high quality solutions. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
20
Binary ant colony optimization algorithm in learning random satisfiability logic for discrete hopfield neural network
Published 2024“…This study introduced a novel ant colony optimization algorithm that implements the population selection strategy of the Estimation of Distribution Algorithm and a new pheromone updating formula. …”
Get full text
Get full text
Get full text
Article
