population-based ant colony optimization
Population basedant colony optimization for inventory routing Problem
... We proposed a population based ant colony optimization ACO where the ants are subdivided into subpopulations and each subpopulation represents one inventory level to construct the routes[r] ...
15
Ant colony optimization based founder sequence reconstruction
... given population can be modeled as a combinatorial optimization problem, which has been proven ...method based on ant colony optimization algorithms (ACO) coupled with two other ...
7
An Improved Algorithm for Inducing Classifica...
... the ant actions, which need only local ...the ant agents, which do not make explicit use of pheromone for construction building and which are not restricted to the use of local ...charge optimization ...
9
IMPLEMENTATION OF ACO ALGORITHM FOR EDGE DETECTION AND SORTING SALESMAN PROBLEM
... an Ant Colony Optimization-based technique for image edge detection and solve ...pixel based on the routes formed by ants dispatched on the ...a population-based ...
12
Download Download PDF
... how population-based meta-heuristic techniques work and indicate their ...algorithms, ant colony optimization, particle swarm optimization, simulat- ed annealing, differential ...
10
Current Search: Performance Evaluation and Application to DC Motor Speed Control System Design
... are based on the stochastic ...usually based on the deterministic process commonly using the deriva- tives (or gradient information) to find the optimum solu- ...spired; population-based and ...
13
Text Document Classification using Ant Colony Optimization and Genetic Algorithm
... of feature space which improves the efficiency and performance of classifier. There were several approaches applied to solve the problemof feature selection in text categorization. Yang and Pedersen(1997) have done a ...
8
A Review on Multilevel Thresholding using Genetic Algorithm and Ant Colony Optimization
... local optimization but does not guarantees global ...poor population may leads for poor ...GA based on the multilevel thresholding, in near future. Ant Colony based ...
5
Population-based optimization algorithms for solving the travelling salesman problem
... the population based optimization algorithms focused on solving the ...of population based optimization algorithms such as Evolutionary Algorithms (EA), Ant Colony ...
36
Comparative Analysis of Meta-Heuristic Algorithms based on their Application Areas in SRGM
... of ant colonies and real ants searching of food source is to be used to manage the population and to find the optimal solution via ...graphs. Ant colony Algorithm is used for ...
7
Ant Colony Optimization Algorithm
... combinatorial optimization problem is a problem defined over a set C = c1, ...policy based on two parameters, called trails and ...each ant incrementally constructs a solution to the ...
6
Survey on Ant Colony Optimization
... named Ant colony based routing algorithm (ARA) has already been implemented for ad hoc networks in ...MANET. ANT inspired approach: Here every node will maintain a routing table having all the ...
5
Ant Colony Optimization algo
... • Virtual “trail” accumulated on path segments • Starting node selected at random.. • Path selected at random.[r] ...
34
Simulation optimization based ant colony algorithm for the uncertain quay crane scheduling problem Pages 111-132 Download PDF
... robust optimization and stochastic optimization, has been used in the literature to deal with uncertainty in logistics and production systems, good reviews of these approaches are given in (Sahinidis, 2004) ...
22
Design and Development of Grey Wolf Optimization Algorithm to Solve Economic Dispatch Problem
... In order to show how to solve the economic load dispatch problem by using grey wolf optimization algorithm and to verify the feasibility of GWO, two practical power systems are engaged to test the algorithm. In ...
9
A Hybrid Ant Colony Optimization Algorithm using MapReduce for Arc Routing Problem
... A) Architecture Optimization Content : architecture is to decide the number of depots required and their positions. MapReduce, which is usually designed for data-intensive problem, provides a two-phase (map and ...
5
A Self-Adaptive Discrete PSO Algorithm with Heterogeneous Parameter Values for Dynamic TSP
... DPSO discrete particle swarm optimization DTSP dynamic travelling salesman problem PACO population ant colony optimization PSO particle swarm optimization TSP travelling salesman problem[r] ...
16
A novel approach to data mining using simplified swarm optimization
... efficient population- based optimization algorithm for data mining based on the PSO ...Swarm Optimization (SSO) ...their population, such as birds flocking or fish ...new ...
54
AN EMPIRICAL EVALUATION FOR THE INTRUSION DETECTION FEATURES BASED ON MACHINE LEARNING AND FEATURE SELECTION METHODS
... PSO initializes itself with output of ACO solutions so called particles. Each particle keeps the stored record for all its coordinates which are related to obtaining the optimal solution by following the current best ...
8
MODELING AND SIMULATION OF GRID CONNECTED PHOTOVOLTAIC DISTRIBUTED GENERATION SYSTEM
... portfolio optimization algorithms, an improved ant colony optimization algorithm based on average entropy was ...portfolio optimization model, the improved algorithm is ...
6