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A multi-objective improved teaching-learning based optimization algorithm for unconstrained and constrained optimization problems
, Pages: 1-22 R. Venkata Rao and Vivek Patel PDF (1200K) |
Abstract: The present work proposes a multi-objective improved teaching-learning based optimization (MO-ITLBO) algorithm for unconstrained and constrained multi-objective function optimization. The MO-ITLBO algorithm is the improved version of basic teaching-learning based optimization (TLBO) algorithm adapted for multi-objective problems. The basic TLBO algorithm is improved to enhance its exploration and exploitation capacities by introducing the concept of number of teachers, adaptive teaching factor, tutorial training and self-motivated learning. The MO-ITLBO algorithm uses a grid-based approach to adaptively assess the non-dominated solutions (i.e. Pareto front) maintained in an external archive. The performance of the MO-ITLBO algorithm is assessed by implementing it on unconstrained and constrained test problems proposed for the Congress on Evolutionary Computation 2009 (CEC 2009) competition. The performance assessment is done by using the inverted generational distance (IGD) measure. The IGD measures obtained by using the MO-ITLBO algorithm are compared with the IGD measures of the other state-of-the-art algorithms available in the literature. Finally, Lexicographic ordering is used to assess the overall performance of competitive algorithms. Results have shown that the proposed MO-ITLBO algorithm has obtained the 1st rank in the optimization of unconstrained test functions and the 3rd rank in the optimization of constrained test functions. DOI: 10.5267/j.ijiec.2013.09.007 Keywords: Multi-objective optimization; Teaching-learning based optimization; Inverted generational distance |
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Coordination of pricing and co-op advertising models in supply chain: A game theoretic approach
, Pages: 23-40 Amin Alirezaei and Farid khoshAlhan PDF (360K) |
Abstract: Co-op advertising is an interactive relationship between manufacturer and retailer(s) supply chain and makes up the majority of marketing budget in many product lines for manufacturers and retailers. This paper considers pricing and co-op advertising decisions in two-stage supply chain and develops a monopolistic retailer and duopolistic retailer's model. In these models, the manufacturer and the retailers play the Nash, Manufacturer-Stackelberg and cooperative game to make optimal pricing and co-op advertising decisions. A bargaining model is utilized for determine the best pricing and co-op advertising scheme for achieving full coordination in the supply chain. DOI: 10.5267/j.ijiec.2013.09.006 Keywords: Cooperative advertising; Pricing; Supply chain; Duopolistic retailers; Game theory; Nash Equilibrium |
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Differential search algorithm-based parametric optimization of electrochemical micromachining processes
, Pages: 41-54 Debkalpa Goswami and Shankar Chakraborty PDF (1370K) |
Abstract: Electrochemical micromachining (EMM) appears to be a very promising micromachining process for having higher machining rate, better precision and control, reliability, flexibility, environmental acceptability, and capability of machining a wide range of materials. It permits machining of chemically resistant materials, like titanium, copper alloys, super alloys and stainless steel to be used in biomedical, electronic, micro-electromechanical system and nano-electromechanical system applications. Therefore, the optimal use of an EMM process for achieving enhanced machining rate and improved profile accuracy demands selection of its various machining parameters. Various optimization tools, primarily Derringer’s desirability function approach have been employed by the past researchers for deriving the best parametric settings of EMM processes, which inherently lead to sub-optimal or near optimal solutions. In this paper, an attempt is made to apply an almost new optimization tool, i.e. differential search algorithm (DSA) for parametric optimization of three EMM processes. A comparative study of optimization performance between DSA, genetic algorithm and desirability function approach proves the wide acceptability of DSA as a global optimization tool. DOI: 10.5267/j.ijiec.2013.08.003 Keywords: Electrochemical micromachining process; Differential search algorithm; Process parameter; Response; |
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Integrated decision making model for urban disaster management: A multi-objective genetic algorithm approach
, Pages: 55-70 V. Esmaeili and F. Barzinpour PDF (1370K) |
Abstract: In recent decays, there has been an extensive improvement in technology and knowledge; hence, human societies have started to fortify their urban environment against the natural disasters in order to diminish the context of vulnerability. Local administrators as well as government officials are thinking about new options for disaster management programs within their territories. Planning to set up local disaster management facilities and stock pre-positioning of relief items can keep an urban area prepared for a natural disaster. In this paper, based on a real-world case study for a municipal district in Tehran, a multi-objective mathematical model is developed for the location-distribution problem. The proposed model considers the role of demand in an urban area, which might be affected by neighbor wards. Integrating decision-making process for a disaster helps to improve a better relief operation during response phase of disaster management cycle. In the proposed approach, a proactive damage estimation method is used to estimate demands for the district based on worst-case scenario of earthquake in Tehran. Since such model is designed for an entire urban district, it is considered to be a large-scale mixed integer problem and hence, a genetic algorithm is developed to solve the model. DOI: 10.5267/j.ijiec.2013.08.004 Keywords: Urban disaster management; Relief chain management; Damage estimation; Location and distribution model Multi-objective; Hybrid Meta-heuristic approach |
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An optimization of an inventory model of decaying-lot depleted by declining market demand and extended with discretely variable holding costs
, Pages: 71-86 Ankit Prakash Tyagi PDF (360K) |
Abstract: Inventory management is considered as major concerns of every organization. In inventory holding, many steps are taken by managers that result a cost involved in this row. This cost may not be constant in nature during time horizon in which perishable stock is held. To investigate on such a case, this study proposes an optimization of inventory model where items deteriorate in stock conditions. To generalize the decaying conditions based on location of warehouse and conditions of storing, the rate of deterioration follows the Weibull distribution function. The demand of fresh item is declining with time exponentially (because no item can always sustain top place in the list of consumers’ choice practically e.g. FMCG). Shortages are allowed and backlogged, partially. Conditions for global optimality and uniqueness of the solutions are derived, separately. The results of some numerical instances are analyzed under various conditions. DOI: 10.5267/j.ijiec.2013.09.005 Keywords: Inventory; Deterioration; Discretely variable holding cost Shortage; Partial backlogging |
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A heuristic algorithm for a multi-product four-layer capacitated location-routing problem
, Pages: 87-100 Mohsen Hamidi, Kambiz Farahmand, S. Reza Sajjadi and Kendall E. Nygard PDF (1013K) |
Abstract: The purpose of this study is to solve a complex multi-product four-layer capacitated location-routing problem (LRP) in which two specific constraints are taken into account: 1) plants have limited production capacity, and 2) central depots have limited capacity for storing and transshipping products. The LRP represents a multi-product four-layer distribution network that consists of plants, central depots, regional depots, and customers. A heuristic algorithm is developed to solve the four-layer LRP. The heuristic uses GRASP (Greedy Randomized Adaptive Search Procedure) and two probabilistic tabu search strategies of intensification and diversification to tackle the problem. Results show that the heuristic solves the problem effectively. DOI: 10.5267/j.ijiec.2013.09.008 Keywords: Location-Routing Problem (LRP); Distribution Network; GRASP (Greedy Randomized Adaptive Search Procedure); Tabu Search |
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Optimization of multi-response dynamic systems using principal component analysis (PCA)-based utility theory approach
, Pages:101-114 Susanta Kumar Gauri PDF (1020K) |
Abstract: Optimization of a multi-response dynamic system aims at finding out a setting combination of input controllable factors that would result in optimum values for all response variables at all signal levels. In real life situation, often the multiple responses are found to be correlated. The main advantage of PCA-based approaches is that it takes into account the correlation among the multiple responses. Two PCA-based approaches that are commonly used for optimization of multiple responses in dynamic system are PCA-based technique for order preference by similarity to ideal solution (TOPSIS) and PCA-based multiple criteria evaluation of the grey relational model (MCE-GRM). This paper presents a new PCA-based approach, called PCA-based utility theory (UT) approach, for optimization of multiple dynamic responses and compares its optimization performance with other existing PCA-based approaches. The results show that the proposed PCA-based UT method is superior to the other PCA-based approaches. DOI: 10.5267/j.ijiec.2013.09.004 Keywords: Dynamic system; Multiple responses; Optimization; Principal component analysis; Utility theory |
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Clustering fuzzy objects using ant colony optimization
, Pages: 115-126 Fardin Ahmadizar and Mehdi Hosseinabadi Farahani PDF (1020K) |
Abstract: This paper deals with the problem of grouping a set of objects into clusters. The objective is to minimize the sum of squared distances between objects and centroids. This problem is important because of its applications in different areas. In prior literature on this problem, attributes of objects have often been assumed to be crisp numbers. However, since in many realistic situations object attributes may be vague and should better be represented by fuzzy numbers, we are interested in the generalization of the minimum sum-of-squares clustering problem with the attributes being fuzzy numbers. Specifically, we consider the case where an object attribute is a triangular fuzzy number. The problem is first formulated as a fuzzy nonlinear binary integer programming problem based on a newly proposed dissimilarity measure, and then solved by developing and demonstrating a problem-specific ant colony optimization algorithm. The proposed algorithm is evaluated by computational experiments. DOI: 10.5267/j.ijiec.2013.09.003 Keywords: Clustering; Fuzzy objects; Dissimilarity measure; Minimum sum-of-squares; Ant colony optimization |
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An EPQ model with trapezoidal demand under volume flexibility
, Pages: 127-138 Himani Dem, S.R. Singh and Jitendra Kumar PDF (1020K) |
Abstract: In this paper, we explored an economic production quantity model (EPQ) model for finite production rate and deteriorating items with time-dependent trapezoidal demand. The objective of the model under study is to determine the optimal production run-time as well as the number of production cycle in order to maximize the profit. Numerical example is also given to illustrate the model and sensitivity analyses regarding various parameters are performed to study their effects on the optimal policy. DOI: 10.5267/j.ijiec.2013.09.002 Keywords: Production; Trapezoidal demand; Volume flexibility |
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Coordination of a three-level supply chain under disruption using profit sharing and return policy contracts
, Pages: 139-150 Ebrahim Manzari Tavakoli and Mehdi Mirzaee PDF (1370K) |
Abstract: This paper studies a three-level supply chain with one retailer, one distributer and one manufacturer under disruption. First, we show that profit sharing and return policy contracts established between members can coordinate this supply chain. Then, we investigate the effect of demand disruption in supply chain and we illustrate the possibility of breaking the initial desirable coordination. We consider two possible scenarios for the demand disruption separately; afterwards we define the revised coordinator parameters to respond to their effect in supply chain. Numerical examples for validation and evaluation of our model are also elaborated. DOI: 10.5267/j.ijiec.2013.09.001 Keywords: Three-level Supply chain; Coordination; Disruption; Profit sharing; Return policy |
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11. |
Optimal trade-credit policy for perishable items deeming imperfect production and stock dependent demand
, Pages 151-168 S. R. Singh and Swati Sharma PDF (322K) |
Abstract: Trade credit is the most succeeding economic phenomenon which is used by the supplier for encouraging the retailers to buy more quantity. In this article, a mathematical model with stock dependent demand and deterioration is developed to investigate the retailer’s optimal inventory policy under the scheme of permissible delay in payment. It is assumed that defective items are produced during the production process and delay period is progressive. The objective is to minimize the total average cost of the system. To exemplify hypothesis of the proposed model numerical examples and sensitivity analysis are provided. Finally, the convexities of the cost functions and the effects of changing parameters are represented through the graphs. DOI: 10.5267/j.ijiec.2013.08.002 Keywords: Perishable items; Trade credit; Delay in payment |
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12. |
A literature review on inventory modeling with reliability consideration
, Pages: 169-178 Imtiaz Ahmed and Ineen Sultana PDF (256K) |
Abstract: Inventories are the materials stored either waiting for processing or experiencing processing and in some cases for future delivery. Inventories are treated both as blessings and evil. As they are like money placed in a drawer, assets tied up in investments, incurring costs for the care of the stored material and also subject to spoilage and obsolescence there have been a spate of programs developed by industries, all aimed at reducing inventory levels and increasing efficiency on the shop floor. Nevertheless, they do have positive purposes such as stable source of input required for production, less replenishment and may reduce ordering costs because of economies of scale. Finished goods inventories provide for better customer service. So formulating a suitable inventory model is one of the major concerns for an industry. Again considering reliability of any process is an important trend in the current research activities. Inventory models could be both deterministic and probabilistic and both of which must account for the reliability of the associated production process. This paper discusses the major works in the field of inventory modeling driven by reliability considerations, which ranges from the very beginning to latest works just published. DOI: 10.5267/j.ijiec.2013.10.001 Keywords: Inventory model; Process reliability; Imperfect production process; EOQ; EPQ |
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