Survey of Finding Solution for optimization problem using Ant Colony Optimization
نویسنده
چکیده
Ant Colony Optimization is one of the metaheuristic algorithms and first member of ACO is Ant System (AS). AS uses a population of co-operating ants also known as agents. The cooperation phenomenon among the ants is called foraging and recruiting behavior. This describes how ants explore the world in search of food sources, then find their way back to the nest and indicate the food source to the other ants of the colony. The nature of ants, that collectively solve hard problems, gave rise to artificial ant algorithms. These algorithms were also proposed as a multi-agent approach in order to solve hard combinatorial optimization problems. ACO metaheuristic introduces main features of artificial and these features have inspired different ant algorithms to solve hard optimization
منابع مشابه
Finding the Shortest Hamiltonian Path for Iranian Cities Using Hybrid Simulated Annealing and Ant Colony Optimization Algorithms
The traveling salesman problem is a well-known and important combinatorial optimization problem. The goal of this problem is to find the shortest Hamiltonian path that visits each city in a given list exactly once and then returns to the starting city. In this paper, for the first time, the shortest Hamiltonian path is achieved for 1071 Iranian cities. For solving this large-scale problem, tw...
متن کاملWinner Determination in Combinatorial Auctions using Hybrid Ant Colony Optimization and Multi-Neighborhood Local Search
A combinatorial auction is an auction where the bidders have the choice to bid on bundles of items. The WDP in combinatorial auctions is the problem of finding winning bids that maximize the auctioneer’s revenue under the constraint that each item can be allocated to at most one bidder. The WDP is known as an NP-hard problem with practical applications like electronic commerce, production manag...
متن کاملA Hybrid Dynamic Programming for Inventory Routing Problem in Collaborative Reverse Supply Chains
Inventory routing problems arise as simultaneous decisions in inventory and routing optimization. In the present study, vendor managed inventory is proposed as a collaborative model for reverse supply chains and the optimization problem is modeled in terms of an inventory routing problem. The studied reverse supply chains include several return generators and recovery centers and one collection...
متن کاملSolving the Vehicle Routing Problem with Simultaneous Pickup and Delivery by an Effective Ant Colony Optimization
One of the most important extensions of the capacitated vehicle routing problem (CVRP) is the vehicle routing problem with simultaneous pickup and delivery (VRPSPD) where customers require simultaneous delivery and pick-up service. In this paper, we propose an effective ant colony optimization (EACO) which includes insert, swap and 2-Opt moves for solving VRPSPD that is different with common an...
متن کاملNew Ant Colony Algorithm Method based on Mutation for FPGA Placement Problem
Many real world problems can be modelled as an optimization problem. Evolutionary algorithms are used to solve these problems. Ant colony algorithm is a class of evolutionary algorithms that have been inspired of some specific ants looking for food in the nature. These ants leave trail pheromone on the ground to mark good ways that can be followed by other members of the group. Ant colony optim...
متن کاملACO-Based Neighborhoods for Fixed-charge Capacitated Multi-commodity Network Design Problem
The fixed-charge Capacitated Multi-commodity Network Design (CMND) is a well-known problem of both practical and theoretical significance. Network design models represent a wide variety of planning and operation management issues in transportation telecommunication, logistics, production and distribution. In this paper, Ant Colony Optimization (ACO) based neighborhoods are proposed for CMND pro...
متن کامل