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Very LargeScale Neighborhood Search for the Quadratic Assignment Problem
 DISCRETE APPLIED MATHEMATICS
, 2002
"... The Quadratic Assignment Problem (QAP) consists of assigning n facilities to n locations so as to minimize the total weighted cost of interactions between facilities. The QAP arises in many diverse settings, is known to be NPhard, and can be solved to optimality only for fairly small size instances ..."
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Cited by 119 (13 self)
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The Quadratic Assignment Problem (QAP) consists of assigning n facilities to n locations so as to minimize the total weighted cost of interactions between facilities. The QAP arises in many diverse settings, is known to be NPhard, and can be solved to optimality only for fairly small size instances (typically, n < 25). Neighborhood search algorithms are the most popular heuristic algorithms to solve larger size instances of the QAP. The most extensively used neighborhood structure for the QAP is the 2exchange neighborhood. This neighborhood is obtained by swapping the locations of two facilities and thus has size O(n²). Previous efforts to explore larger size neighborhoods (such as 3exchange or 4exchange neighborhoods) were not very successful, as it took too long to evaluate the larger set of neighbors. In this paper, we propose very largescale neighborhood (VLSN) search algorithms where the size of the neighborhood is very large and we propose a novel search procedure to heuristically enumerate good neighbors. Our search procedure relies on the concept of improvement graph which allows us to evaluate neighbors much faster than the existing methods. We present extensive computational results of our algorithms on standard benchmark instances. These investigations reveal that very largescale neighborhood search algorithms give consistently better solutions compared the popular 2exchange neighborhood algorithms considering both the solution time and solution accuracy.
A review of integrated analysis of productiondistribution systems
 IIE Transactions
, 1999
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Dynamic programming approximations for a stochastic inventory routing problem
 Transportation Science
, 2004
"... This work is motivated by the need to solve the inventory routing problem when implementing a business practice called vendor managed inventory replenishment (VMI). With VMI, vendors monitor their customers ’ inventories, and decide when and how much inventory should be replenished at each customer. ..."
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Cited by 21 (3 self)
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This work is motivated by the need to solve the inventory routing problem when implementing a business practice called vendor managed inventory replenishment (VMI). With VMI, vendors monitor their customers ’ inventories, and decide when and how much inventory should be replenished at each customer. The inventory routing problem attempts to coordinate inventory replenishment and transportation in such a way that the cost is minimized over the long run. We formulate a Markov decision process model of the stochastic inventory routing problem, and propose approximation methods to find good solutions with reasonable computational effort. We indicate how the proposed approach can be used for other Markov decision processes involving the control of multiple resources. ∗ Supported by the National Science Foundation under grant DMI9875400.
The Inventory Routing Problem
 Fleet Management and Logistics
, 1998
"... Vendor managed resupply is an emerging trend in logistics and refers to situations in which a supplier manages the inventory replenishment of its customers. Vendors save on distribution cost by being able to better coordinate deliveries to di erent customers, and customers do not have to dedicate re ..."
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Cited by 18 (3 self)
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Vendor managed resupply is an emerging trend in logistics and refers to situations in which a supplier manages the inventory replenishment of its customers. Vendors save on distribution cost by being able to better coordinate deliveries to di erent customers, and customers do not have to dedicate resources to inventory management. We present and discuss the inventory routing problem. The inventory routing problem captures the basic characteristics of situations where vendor managed resupply may be used, and methodologies developed for its solution could become building blocks for logistics planning systems.
Memetic Algorithm with Extended Neighborhood Search for Capacitated . . .
 IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
, 2009
"... The capacitated arc routing problem (CARP) has attracted much attention during the last few years due to its wide applications in real life. Since CARP is NPhard and exact methods are only applicable to small instances, heuristic and metaheuristic methods are widely adopted when solving CARP. In t ..."
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Cited by 9 (3 self)
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The capacitated arc routing problem (CARP) has attracted much attention during the last few years due to its wide applications in real life. Since CARP is NPhard and exact methods are only applicable to small instances, heuristic and metaheuristic methods are widely adopted when solving CARP. In this paper, we propose a memetic algorithm, namely memetic algorithm with extended neighborhood search (MAENS), for CARP. MAENS is distinct from existing approaches in the utilization of a novel local search operator, namely MergeSplit (MS). The MS operator is capable of searching using large step sizes, and thus has the potential to search the solution space more efficiently and is less likely to be trapped in local optima. Experimental results show that MAENS is superior to a number of stateoftheart algorithms, and the advanced performance of MAENS is mainly due to the MS operator. The application of the MS operator is not limited to MAENS. It can be easily generalized to other approaches.
A selection of useful theoretical tools for the design and analysis of optimization heuristics
 Memetic Computing
, 2009
"... An intensive practical experimentation is certainly required for the purpose of heuristics design and evaluation, however a theoretical approach is also important in this area of research. This paper gives a brief description of a selection of theoretical tools that can be used for designing and ana ..."
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Cited by 4 (2 self)
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An intensive practical experimentation is certainly required for the purpose of heuristics design and evaluation, however a theoretical approach is also important in this area of research. This paper gives a brief description of a selection of theoretical tools that can be used for designing and analyzing various heuristics. For design and evaluation, we consider several examples of preprocessing procedures and probabilistic instance analysis methods. We also discuss some attempts at the theoretical explanation of successes and failures of certain heuristics. 1
Inventory Routing with Continuous Moves
"... The typical inventory routing problem deals with the repeated distribution of a single product from a single facility with an unlimited supply to a set of customers that can all be reached with outandback trips. Unfortunately, this is not always the reality. We introduce the inventory routing prob ..."
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Cited by 3 (0 self)
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The typical inventory routing problem deals with the repeated distribution of a single product from a single facility with an unlimited supply to a set of customers that can all be reached with outandback trips. Unfortunately, this is not always the reality. We introduce the inventory routing problem with continuous moves to study two important reallife complexities: limited product availabilities at facilities and customers that cannot be served using outandback tours. We need to design delivery tours spanning several days, covering huge geographic areas, and involving product pickups at different facilities. We develop an innovative randomized greedy algorithm, which includes linear programming based postprocessing technology, and we demonstrate its effectiveness in an extensive computational study. 1
WarehouseRetailer Network Design Problem
, 2001
"... In this paper, we study the distribution network design problem integrating transportation and infinite horizon multiechelon inventory cost function. We consider the trade o# between inventory cost, direct shipment cost and facility location cost in such system. The problem is to determine how many ..."
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Cited by 1 (0 self)
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In this paper, we study the distribution network design problem integrating transportation and infinite horizon multiechelon inventory cost function. We consider the trade o# between inventory cost, direct shipment cost and facility location cost in such system. The problem is to determine how many warehouses to set up, where to locate them, how to serve the retailers using these warehouses, and to determine the optimal inventory policies for the warehouses and retailers. The objective is to minimize the total multiechelon inventory, transportation and facility location costs. To the best of our knowledge, none of the papers in the area of distribution network design has explicitly addressed the issues of 2echelon inventory cost function arising from coordination of replenishment activities between the warehouses and the retailers. We structure this problem as a setpartitioning integerprogramming model. The pricing problem that arises from the column generation algorithm gives rise to a new class of submodular function minimization problem. We show that this pricing problem can be solved in O(n log n) time, where n is the number of retailers. Computational results show that large distribution network design problem can be solved e#ciently via this approach. 1 1
A TABU SEARCH HEURISTIC FOR THE MULTIDEPOT VEHICLE ROUTING PROBLEM
, 1994
"... Montr+al, Canada H3C 3J7, 4Centre de service d'orientation et de recherche sur la comp&itivit+ ..."
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Montr+al, Canada H3C 3J7, 4Centre de service d'orientation et de recherche sur la comp&itivit+
Information Systems Management
"... Internet: www.erim.eur.nl Bibliographic data and classifications of all the ERIM reports are also available on the ERIM website: www.erim.eur.nl ..."
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Internet: www.erim.eur.nl Bibliographic data and classifications of all the ERIM reports are also available on the ERIM website: www.erim.eur.nl