An Artificial Immune Algorithm for a Closed-Loop Supply Chain Network Design Problem with Different Delivery Paths

Yadegari, Ehsan; Ekhtiari, Mostafa; Zandieh, M.; Alem-Tabriz, Akbar

doi:10.4018/ijsds.2014070102

Cited by 7 publications

(3 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By observing this biological behaviour an approach called bees colony algorithm (BCA) was introduced in (Karaboga, 2007); 4. Artificial immune system (AIS): The AIS is a model based on the defensive behaviour of the human against the alien invader (Yadegari, 2014). It is characterized by two main features: memory and learning and use generally two operators (mutation and selection) (Dasgupta, 1999); 5.…”

Section: Family Of Collective Intelligence Algorithm (Ci)mentioning

confidence: 99%

New Swarm Intelligence Technique of Artificial Social Cockroaches for Suspicious Person Detection Using N-Gram Pixel with Visual Result Mining

Bouarara

Hamou

Amine

2015

International Journal of Strategic Decision Sciences

View full text Add to dashboard Cite

In the last decade, surveillance camera technology has become widely practiced in public and private places to ensure the safety of individuals. Merely, face to limits of violation the private life of people and the inability to identify malicious persons that hid their faces, finding a new policy of surveillance video has become compulsory. The authors' work deals on the development of a suspicious person detection system using a new insect behaviour algorithm called artificial social cockroaches ASC based on a new image representation method (n-gram pixel). It has as input a set of artificial cockroaches (human images) to classify them (hide) into shelters (classes) suspicious or normal depending on a set of aggregation rules (shelter darkness, congener's attraction and security quality). Their experiments were performed on a modified MuHAVi dataset and using the validation measures (recall, precision, f-measure, entropy and accuracy), in order to show the benefit derived from using such approach compared to the result of classical algorithms (KNN and C4.5). Finally, a visualisation step was achieved to see the results in graphical form with more realism for the purpose to help policeman, security associations and justice in their investigation.

show abstract

Section: Family Of Collective Intelligence Algorithm (Ci)mentioning

confidence: 99%

New Swarm Intelligence Technique of Artificial Social Cockroaches for Suspicious Person Detection Using N-Gram Pixel with Visual Result Mining

Bouarara

Hamou

Amine

2015

International Journal of Strategic Decision Sciences

View full text Add to dashboard Cite

show abstract

“…In order to tackle with NP-hard facility location problems several new metaheuristics have been proposed in the literature, such as Artificial Immune Algorithm (Yadegari et al ;2014)…”

Section: Variable Neighborhood Searchmentioning

confidence: 99%

A Variable Neighborhood Search Algorithm for Network Expansion Deferment in a Hub Network

Rabbani

Farshbaf‐Geranmayeh

Hasani

et al. 2015

International Journal of Strategic Decision Sciences

View full text Add to dashboard Cite

The hub network expansion problem over planning horizon is addressed in this paper. In the extensive literature on hub network problem, it has widely been assumed that all P hub facilities must be located in current period and they do not take into account variation of demands, investment opportunities and net present cost. In this study, it is supposed that P hub facilities should have been located over planning horizon under variation of demands of every pair of nodes over time periods and also considering congestion effects at hub nodes. In this study, a mixed integer nonlinear programming formulation which minimizing the net present cost of planning horizon is presented. The Variable Neighborhood Search (VNS) algorithm is developed and successfully solved many instances of standard Childhood and Beyond (CAB) dataset and the results verify applicability of the proposed model and algorithm.

show abstract

“…The model presents an NP-hard problem that is not possible to solve through traditional methods in acceptable time, particularly in large size. In this regard, many researchers have been developed heuristics and metaheuristics to cope with this NP-hard [6,[9][10][11][12][13][14]. Although as the network presented in this study is not a case-based network, developing an efficient solution methodology to tackle this NP hard problem is still a critical need in this area [15].…”

Section: Introductionmentioning

confidence: 99%

A Comparison between Memetic Algorithm and Genetic Algorithm for an Integrated Logistics Network with Flexible Delivery Path

Behmanesh

Pannek

2021

SN Oper. Res. Forum

View full text Add to dashboard Cite

The distribution/allocation problem is known as one of the most comprehensive strategic decision. In real-world cases, it is impossible to solve a distribution/allocation problem in traditional ways with acceptable time. Hence researchers develop efficient non-traditional techniques for the large-term operation of the whole supply chain. These techniques provide near optimal solutions particularly for large-scale test problems. This paper presents an integrated supply chain model which is flexible in the delivery path. As the solution methodology, we apply a memetic algorithm with a neighborhood search mechanism and novelty in population presentation method called “extended random path direct encoding method.” To illustrate the performance of the proposed memetic algorithm, LINGO optimization software serves as comparison basis for small size problems. In large-size cases that we are dealing with in real world, a classical genetic algorithm as the second metaheuristic algorithm is considered to compare the results and show the efficiency of the memetic algorithm.

show abstract

An Artificial Immune Algorithm for a Closed-Loop Supply Chain Network Design Problem with Different Delivery Paths

Cited by 7 publications

References 40 publications

New Swarm Intelligence Technique of Artificial Social Cockroaches for Suspicious Person Detection Using N-Gram Pixel with Visual Result Mining

New Swarm Intelligence Technique of Artificial Social Cockroaches for Suspicious Person Detection Using N-Gram Pixel with Visual Result Mining

A Variable Neighborhood Search Algorithm for Network Expansion Deferment in a Hub Network

A Comparison between Memetic Algorithm and Genetic Algorithm for an Integrated Logistics Network with Flexible Delivery Path

Contact Info

Product

Resources

About