Ant Colony
Tasks Scheduling using Ant Colony Optimization
... Abstract: Problem statement: Efficient scheduling of the tasks to heterogeneous processors for any application is critical in order to achieve high performance. Finding a feasible schedule for a given task set to a set ...
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Selective Marketing for Retailers to promote Stock using improved Ant Colony Algorithm
... of Ant colony algorithm, which is a bio inspired algorithm based on the behaviour of natural ant colonies, is its parallel search over the problem data and previously obtained results from ...
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DANTE - The combination between an ant colony optimization algorithm and a depth search method
... It is well known that, very often, the use of pure Evo- lutionary Algorithms has a lack of performance, namely in the optimization of large combinatorial problems instances. Moreover, the majority of the evolutionary ...
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The Optimization of Running Queries in Relational Databases Using ANT-Colony Algorithm
... using Ant-Colony Algorithm, it suffices that we consider every table as a city (n cities) and that sales person doesn’t return to first city and also we should consider η(r, u) equal to reciprocal of the ...
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A HYBRID OPTIMIZATION ALGORITHM BASED ON GENETIC ALGORITHM AND ANT COLONY OPTIMIZATION
... and Ant Colony Optimization Algorithm (ACO) have been known as good alternative ...Genetic Ant Colony Optimization ...fittest ant in each cycle in every generation and only unvisited ...
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DNA Motif Discovery Based on Ant Colony Optimization and Expectation Maximization
... Another issue is the assumption, made in the Ant Colony Optimization (ACO) and Expectation Maximization (EM) process, that there is only one binding site per sequence. This assumption is contradicted by ...
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Performance Evaluation of Different Network Topologies Based On Ant Colony Optimization
... (Ant Colony Optimization) [1][2][3] and ACO routing is a behavior that is displayed by certain species of ants in nature during ...individual ant is a rather simple creature, with very limited vision ...
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An Adaptive Learning Based on Ant Colony and Collaborative Filtering
... This Meta heuristic is inspired from collective behavior of storing, and paths tracking observed within ant's colonies. Ants communicate indirectly through dynamic modification of their environment (pheromone’s paths) ...
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A multi-objective Pareto ant colony algorithm for the Multi-Depot Vehicle Routing problem with Backhauls
... Surveys of existing methods for multi-objective problems were presented in Jozefowiez et al. (2008) and Zhou et al. (2011). In Jozefowiez et al. (2008), the authors examined multiobjective versions of several variants of ...
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DESIGNING DAILY PATROL ROUTES FOR POLICING BASED ON ANT COLONY ALGORITHM
... In this paper, we address the problem of planning police patrol routes to regularly cover street segments of high crime density (hotspots) with limited police forces. A good patrolling strategy is required to minimise ...
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Application of the Ant Colony Search Algorithm to Reactive Power Pricing in an Open Electricity Market
... In this study the reactive power marginal price is studied in detail. Both active and reactive power production costs of generators and capital cost of capacitors are considered in the objective function of OPF problem. ...
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4 A Dynamical Ant Colony Optimization with Heuristics for Scheduling Jobs on a Single Machine with a Common Due Date
... Summary. The problem of scheduling jobs on a single machine with a common due date is one of NP-complete problems. It is to minimize the total earliness and tardiness penalties. This chapter introduces a Dynamical ...
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Swarm Intelligence Based Ant Colony Optimization (ACO) Approach for Maximizing the Lifetime of Heterogeneous Wireless Sensor Networks
... real ant colony where the more the ants follow a trail, the more attractive that trail ...becomes. Ant colony optimization is a class of optimization algorithms modeled on the actions of an ...
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Ant Colony Clustering Algorithm and Improved Markov Random Fusion Algorithm in Image Segmentation of Brain Images
... On the basis of analyzing the research results of human brain MRI image segmentation at worldwide for many years, this paper has made in-depth research on the human brain image segmentation algorithm. The algorithm in ...
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Feature Extraction for Image Classification and Analysis with Ant Colony Optimization Using Fuzzy Logic Approach
... Randomly a pixel is selected from the input grayscale image, is verified with inference rules, to classify to which dataset it belongs to. This is carried out some thing like, the ant collects the information from ...
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Ant Colony Optimization Based Modified Termite Algorithm (MTA) with Efficient Stagnation Avoidance Strategy for MANETs
... Wireless communications can be categorized into Infrastructure dependent and infrastructure independent networks. The Cellular networks are infrastructure dependent where as Ad hoc Wireless Networks (AWN) are capable of ...
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Ant colony algorithms for multiple objective combinatorial optimization: applications to the minimum spanning trees problems
... others Ant Colony Optimization algorithms, MONACO mimics the ant’s for- aging behaviour supported by a communication process, which relies on a chemical pheromone trail, signalling a good path to some ...
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Airline disruption management: dynamic aircraft scheduling with ant colony optimization
... Perhaps the most interesting article to our work was written by Zegordi and Jafari (Zegordi and Jafari, 2010) who used the Ant Colony Algorithm (Colorni et al., 1991) heuristic to solve the ARP. Their ...
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A Multi-Objective Ant Colony System Algorithm for Virtual Machine Placement
... Virtual machine place ment is a process of mapping virtual machines to physical machines. The optimal place ment is important for improving power effic iency and resource utilization in a c loud computing environment. In ...
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