Multi-objective interior search algorithm for optimization: A new multi-objective meta-heuristic algorithm

Torabi, Navid; Tavakkoli–Moghaddam, Reza; Najafi, Esmaiel; Lotfı, Farhad Hosseinzadeh

doi:10.3233/jifs-172005

Cited by 4 publications

(2 citation statements)

References 32 publications

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“…In the proposed algorithm, those stages of process that require sorting out the original population use the two mentioned principles for this purpose. By considering literature [15] metaheuristic multi objective interior search algorithm used for solving gscm model presented in this paper. The pseudo code of MOISA is as follows: Numerical examples are considered at three levels of small, medium and large.…”

Section: Multi-objective Interior Search Algorithmmentioning

confidence: 99%

A Two-Stage Green Supply Chain Network with a Carbon Emission Price by a Multi-objective Interior Search Algorithm

Torabi

Tavakkoli–Moghaddam

Najafi

et al. 2019

IJE

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This paper presented a new two-stage green supply chain network, in which includes two innovations. Firstly, it presents a new multi-objective model for a two-stage green supply chain problem that considers the amount of shortage in the network, reworking, and carbon-trading cost produced in the green supply chain. Secondly, because of the complexity of this model, it uses a new multi-objective interior search algorithm (MOISA) to solve the presented model. The obtained results of the proposed algorithm were compared with the results of other multi-objective meta-heuristics, namely MOPSO, SPEA2, and NSGA-II. The outcomes demonstrate that the proposed MOISA gives better Pareto solutions and indicates the superiority of the proposed algorithm in most cases.

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Section: Multi-objective Interior Search Algorithmmentioning

confidence: 99%

A Two-Stage Green Supply Chain Network with a Carbon Emission Price by a Multi-objective Interior Search Algorithm

Torabi

Tavakkoli–Moghaddam

Najafi

et al. 2019

IJE

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“…Interior search algorithms (ISA) are a novel meta-heuristic algorithm that originated from aesthetic behaviors of interior design and decoration [45]. Since it was proposed, ISA has attracted increasing interest in dealing with various complex optimization problems [46][47][48][49][50]. In the ISA algorithm, individuals are split into two groups with the exception of the fittest one, namely the composition group and the mirror group.…”

Section: Introductionmentioning

confidence: 99%

A New Interior Search Algorithm for Energy-Saving Flexible Job Shop Scheduling with Overlapping Operations and Transportation Times

Liu

Jiang

Zhu

et al. 2022

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Energy-saving scheduling has been pointed out as an interesting research issue in the manufacturing field, by which energy consumption can be effectively reduced through production scheduling from the operational management perspective. In recent years, energy-saving scheduling problems in flexible job shops (ESFJSPs) have attracted considerable attention from scholars. However, the majority of existing work on ESFJSPs assumed that the processing of any two consecutive operations in a job cannot be overlapped. In order to be close to real production, the processing overlapping of consecutive operations is allowed in this paper, while the job transportation tasks are also involved between different machines. To formulate the problem, a mathematical model is set up to minimize total energy consumption. Due to the NP-hard nature, a new interior search algorithm (NISA) is elaborately proposed following the feature of the problem. A number of experiments are conducted to verify the effectiveness of the NISA algorithm. The experimental results demonstrate that the NISA provides promising results for the considered problem. In addition, the computational results indicate that the increasing transportation time and sub-lot number will increase the transportation energy consumption, which is largely responsible for the increase in total energy consumption.

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Optimized Parameters of SOFC for steady state and transient simulations using interior search algorithm

El-Hay

El‐Hameed

El‐Fergany

2019

Energy

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Multi-objective interior search algorithm for optimization: A new multi-objective meta-heuristic algorithm

Cited by 4 publications

References 32 publications

A Two-Stage Green Supply Chain Network with a Carbon Emission Price by a Multi-objective Interior Search Algorithm

A Two-Stage Green Supply Chain Network with a Carbon Emission Price by a Multi-objective Interior Search Algorithm

A New Interior Search Algorithm for Energy-Saving Flexible Job Shop Scheduling with Overlapping Operations and Transportation Times

Optimized Parameters of SOFC for steady state and transient simulations using interior search algorithm

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