Search Results - (( site selection based algorithm ) OR ( _ application ((colony algorithm) OR (amh algorithm)) ))*
Search alternatives:
- selection based »
- amh algorithm »
- site »
-
1
Extensions to the K-AMH algorithm for numerical clustering
Published 2018Get full text
Get full text
Get full text
Article -
2
Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed
Published 2012“…Three algorithms of Linear (PURELIN), hyperbolic tangent sigmoid (TANSIG) and logistic sigmoid (LOGSIG) activation functions were selected for output layer. …”
Get full text
Get full text
Thesis -
3
Partitional clustering algorithms for highly similar and sparseness y-short tandem repeat data / Ali Seman
Published 2013“…The idea was incorporated into a new algorithm called, k-Approximate Modal Haplotypes (&-AMH) algorithm. …”
Get full text
Get full text
Thesis -
4
-
5
Interacted Multiple Ant Colonies for Search Stagnation Problem
Published 2010“…Ant Colony Optimization (ACO) is a successful application of swarm intelligence. …”
Get full text
Get full text
Get full text
Thesis -
6
A new multiple ant colonies optimization algorithm utilizing average pheromone evaluation mechanism
Published 2008Get full text
Get full text
Get full text
Conference or Workshop Item -
7
A greedy heuristics multiple criteria model for solving multi-landfill site selection and plant propagation algorithm for improving waste collection vehicle routing solutions
Published 2023“…Both models were tested on a WCVRP benchmark problem and a case-based scenario in Kubang Pasu, Kedah. Five candidate landfill sites were considered. …”
Get full text
Get full text
Get full text
Thesis -
8
Autonomous flight algorithm of a quadcopter sensing system for methane gas concentration measurements at landfill site
Published 2018“…The final algorithm proposed in this thesis, self-generates coordinates based only on the user input of three coordinate angles at the corner of the selected survey area, this makes it possible to cover an area of any dimensions. …”
Get full text
Get full text
Thesis -
9
Ant colony optimization algorithm for dynamic scheduling of jobs in computational grid
Published 2012“…Job scheduling problem is classified as an NP-hard problem.Such a problem can be solved only by using approximate algorithms such as heuristic and meta-heuristic algorithms.Among different optimization algorithms for job scheduling, ant colony system algorithm is a popular meta-heuristic algorithm which has the ability to solve different types of NP-hard problems.However, ant colony system algorithm has a deficiency in its heuristic function which affects the algorithm behavior in terms of finding the shortest connection between edges.This research focuses on a new heuristic function where information about recent ants’ discoveries has been considered.The new heuristic function has been integrated into the classical ant colony system algorithm.Furthermore, the enhanced algorithm has been implemented to solve the travelling salesman problem as well as in scheduling of jobs in computational grid.A simulator with dynamic environment feature to mimic real life application has been development to validate the proposed enhanced ant colony system algorithm. …”
Get full text
Get full text
Monograph -
10
-
11
-
12
-
13
Ant colony algorithm for job scheduling in grid computing
Published 2010Get full text
Get full text
Get full text
Conference or Workshop Item -
14
Low and high level hybridization of ant colony system and genetic algorithm for job scheduling in grid computing
Published 2015Get full text
Get full text
Get full text
Conference or Workshop Item -
15
IMPLEMENTATION OF BEHAVIOUR BASED NAVIGATION IN A PHYSICALLY CONFINED SITE
Published 2017Get full text
Get full text
Final Year Project -
16
-
17
Ant colony optimization algorithm for load balancing in grid computing
Published 2012Get full text
Get full text
Get full text
Monograph -
18
-
19
Neural Network Training Using Hybrid Particle-move Artificial Bee Colony Algorithm for Pattern Classification
Published 2017“…Artificial Bees Colony (ABC) optimization algorithm is one of the competitive algorithms in the SI algorithms group. …”
Get full text
Get full text
Get full text
Article -
20
Interacted multiple ant colonies optimization framework: An experimental study of the evaluation and the exploration techniques to control the search stagnation
Published 2010“…Search stagnation is a serius prblem that all Ant Colony Optimization (ACO) algorithms suffer from regardless of their application domain. …”
Get full text
Get full text
Get full text
Article
