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TRAIN SCHEDULING USING ANT COLONY OPTIMIZATION TECHNIQUE

by unknown authors
"... The paper develops an algorithm for the train scheduling problem using the ant colony system metaheuristic called ACS-TS. At first, a mathematical model for a kind of train scheduling problem is developed and then the algorithm based on ACS is presented to solve the problem. The problem is considere ..."
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The paper develops an algorithm for the train scheduling problem using the ant colony system metaheuristic called ACS-TS. At first, a mathematical model for a kind of train scheduling problem is developed and then the algorithm based on ACS is presented to solve the problem. The problem

A concise overview of applications of ant colony optimization

by Thomas Stützle , Manuel López-Ibáñez , Marco Dorigo - In Encyclopedia of Operations Research and Management Science , 2011
"... Ant Colony Optimization (ACO) Despite being one of the youngest metaheuristics, the number of applications of ACO algorithms is very large. In principle, ACO can be applied to any combinatorial optimization problem for which some iterative solution construction mechanism can be conceived. Most app ..."
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Ant Colony Optimization (ACO) Despite being one of the youngest metaheuristics, the number of applications of ACO algorithms is very large. In principle, ACO can be applied to any combinatorial optimization problem for which some iterative solution construction mechanism can be conceived. Most

Ant colony optimization for multipurpose reservoir operation

by D. Nagesh Kumar, M. Janga Reddy - Water Resour. Manage , 2006
"... Abstract. In this paper a metaheuristic technique called Ant Colony Optimization (ACO) is proposed to derive operating policies for a multi-purpose reservoir system. Most of the real world problems often involve non-linear optimization in their solution with high dimensionality and large number of e ..."
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Abstract. In this paper a metaheuristic technique called Ant Colony Optimization (ACO) is proposed to derive operating policies for a multi-purpose reservoir system. Most of the real world problems often involve non-linear optimization in their solution with high dimensionality and large number

Ant colony optimization for solving solid waste collection scheduling problems

by Z. Ismail, S. L. Loh - J. Math. Stat , 2009
"... Abstract: Problem statement: Southern Waste Management environment (SWM environment) is a company responsible for the collection and disposal of solid waste for the city of Johor Bahru, a city with over one million populations. The company is implementing an integrated solid waste management system ..."
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: The implementation of Ant Colony Optimization (ACO) for solving solid waste collection problem as a VRPSD model was described. A set of data modified from the well known 50 customers problems were used to find the route such that the expected traveling cost was minimized. The total cost was minimized by adopting a

Grid Resource Management by means of Ant Colony Optimization

by unknown authors
"... Abstract — The use of a manageable optical network is an important requirement for the new advanced data-intensive grid applications that begin to emerge on the e-Science field. In this paper, we propose an ACO-based algorithm that can provision on-demand and dynamically lightpaths on a grid system. ..."
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Abstract — The use of a manageable optical network is an important requirement for the new advanced data-intensive grid applications that begin to emerge on the e-Science field. In this paper, we propose an ACO-based algorithm that can provision on-demand and dynamically lightpaths on a grid system

Ant Colony Optimization Algorithms with Local Search for the Dynamic Vehicle Routing Problem

by Andrew Runka, Advisor Dr, Beatrice M. Ombuki-berman , 2008
"... This report demonstrates the use of effective local search to improve the performance of simple Ant Colony Optimization (ACO) algorithms as applied to an extension of the Vehicle Routing Problem (VRP) known as the Dynamic Vehicle Routing Problem (DVRP). The static VRP presents all orders a priori, h ..."
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This report demonstrates the use of effective local search to improve the performance of simple Ant Colony Optimization (ACO) algorithms as applied to an extension of the Vehicle Routing Problem (VRP) known as the Dynamic Vehicle Routing Problem (DVRP). The static VRP presents all orders a priori

Christodoulou, S (2005) Construction scheduling with artificial agents and the ant colony optimization CONSTRUCTION SCHEDULING WITH ARTIFICIAL AGENTS AND THE ANT COLONY OPTIMIZATION METAHEURISTIC

by Symeon Christodoulou
"... The research outlined in this paper aims the development of a methodology to arrive at critical path calculations in construction networks using Ant Colony Optimization (ACO) algorithms. Ant Colony Optimization is a population-based, artificial multiagent, general-search technique for the solution ..."
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The research outlined in this paper aims the development of a methodology to arrive at critical path calculations in construction networks using Ant Colony Optimization (ACO) algorithms. Ant Colony Optimization is a population-based, artificial multiagent, general-search technique for the solution

A Multi-Agent Dispatching Heuristic for Manufacturing Systems Using Ant Colonies

by C. A. Silva, J. M. Sousa, T.A. Runkler, J. M. Sá Da Costa
"... This paper addresses the problem of optimizing the scheduling of a production system, using a decentralized heuristic in a parallel machine environment. The proposed algorithm extends the use of the traveling salesman problem for scheduling in single machine models to a multiple machine problem. Her ..."
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This paper addresses the problem of optimizing the scheduling of a production system, using a decentralized heuristic in a parallel machine environment. The proposed algorithm extends the use of the traveling salesman problem for scheduling in single machine models to a multiple machine problem

Optimization of Logistic Processes Using Predictive Ants

by C. Silva, J. M. Sousa, T. A. Runkler, J.M.G. Sá da Costa
"... In previous papers, we have shown that the Ant Colony Optimization (ACO) algorithm could be used as a distributed scheduling strategy for logistic processes. The distributed framework allow us to easily introduce new features that can improve the scheduling methods. An example is a prediction mec ..."
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In previous papers, we have shown that the Ant Colony Optimization (ACO) algorithm could be used as a distributed scheduling strategy for logistic processes. The distributed framework allow us to easily introduce new features that can improve the scheduling methods. An example is a prediction

The study of ship collision avoidance route planning by ant colony algorithm

by Ming-cheng Tsou, Chao-kuang Hsueh - Journal of Marine Science and Technology , 2010
"... e-navigation. Maritime traffic is becoming more complex every day. At present, due to technological advances and to new maritime regulations, there is increasing demand for new nautical ma-rine instruments to be installed into the bridge, and the breadth of navigational information complicates on-du ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
avoidance path planning as the main theme, and applies an Ant Colony Algorithm (ACA) in the field of artificial intelligence to con-struct a collision avoidance model that imitates optimization behaviors in real-life applications. This model combines navi-gational practices, a maritime laws
Results 1 - 10 of 32