An Improved Red Deer Algorithm to Address a Direct Current Brushless Motor Design Problem

Fathollahi-Fard, Amir M.; Azari, Milad Niaz; Hajiaghaei–Keshteli, Mostafa

doi:10.24200/sci.2019.51909.2419

Cited by 15 publications

(8 citation statements)

References 31 publications

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“…An Improved RDA (IRDA) was used as an Engineer design for Direct Current (DC) brushless motor (Fathollahi-Fard et al. 2019 ). The performance of IRDA was also compared through simulation with the other 12 algorithms.…”

Section: Applications Of Rd Algorithmsmentioning

confidence: 99%

“…The performance of MRDA was compared with four techniques: SA, GA, PSO, and ICA, and MRDA outperformed all of them. An Improved RDA (IRDA) was used as an Engineer design for Direct Current (DC) brushless motor (Fathollahi-Fard et al 2019). The performance of IRDA was also compared through simulation with the other 12 algorithms.…”

Section: Applications Of Rd Algorithmsmentioning

confidence: 99%

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Review and analysis for the Red Deer Algorithm

Zitar

Abualigah

Al-Dmour

2021

J Ambient Intell Human Comput

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Section: Applications Of Rd Algorithmsmentioning

confidence: 99%

Section: Applications Of Rd Algorithmsmentioning

confidence: 99%

Review and analysis for the Red Deer Algorithm

Zitar

Abualigah

Al-Dmour

2021

J Ambient Intell Human Comput

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“…In this term, the pseudo-code of algorithm is provided as seen in Figure 6. After that, each male roars to do a local search in the first step [49]. To update the position of males the following equation is proposed:…”

Section: Encoding Planmentioning

confidence: 99%

Metaheuristics for a bi-objective green vendor managed inventory problem in a two-echelon supply chain network

et al. 2020

Self Cite

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Generally, finding an alternative solution for reducing fossil fuel consumption and green emissions of supply chain networks can shift the Vendor Managed Inventory (VMI) to the Green VMI (GVMI). Our literature search also confirms that the issue of environmental pollution and green emissions, is still scarce and required to be explored. This motivates our attempt to offer the issue of green backorder for the VMI in a two-echelon supply chain network among the first studies. To this end, a bi-objective non-linear optimization model with the goal of maximizing the profit of inventory and minimizing the carbon emissions of transportation, simultaneously, is developed. Another contribution of this work is to propose three capable metaheuristics to solve it optimality in large-scale samples. In this regard, the Nondominated Sorting Genetic Algorithm (NSGA-II) as a well-known method as well as Multi-Objective of Keshtel Algorithm (MOKA) and Multi-Objective of Red Deer Algorithm (MORDA) as two recent nature-inspired algorithms are firstly applied. The outputs confirm that the allowed shortage situation along with the lack of cost reduction shows a greater amount of shipping and orders based on sensitivities. With regards to the comparison among algorithms, the performance of MORDA is highly better than MOKA and NSGA-II.

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“…The literature is rich in using the application locationrouting models for different supply chain concepts [16][17][18][19][20][21][22]. To close to nature of real-world application, uncertainty modeling is an active keyword for logistics network from recently-published papers [23][24][25][26][27][28][29][30][31][32]. Here, we review some recent and most relevant works related to our scope of research.…”

Section: Literature Reviewmentioning

confidence: 99%

A Location-Routing Model for Assessment of the Injured People and Relief Distribution under Uncertainty

Beiki

Seyedhosseini

Ghezavati

et al. 2020

IJE

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Throughout history, nature has exposed humans to destructive phenomena such as earthquakes, floods, droughts, tornadoes, volcanic eruptions, and tropical and marine storms. The large scale of damages and casualties caused by natural disasters around the world has led to extensive applied research in the field of preparation and development of a comprehensive system for disaster management to minimize the resulting casualties and financial damages. Based on this motivation and challenges to the field, this research designs an integrated relief chain to optimize simultaneously the preparedness and response phases of disaster management. Decisions to improve the supply chain include locating distribution centers of relief supplies; the amount of inventory stored in facilities in pre-disaster phase, locating temporary care centers and transportation points of the injured, how to allocate relief services to the affected areas, and routing of the vehicles used to distribute relief supplies and evacuate the injured. The results show that decreasing the capacity of distribution centers increases the amount of shortage of supplies and increasing the capacity of these centers reduces the amount of shortage of supplies.

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An Improved Red Deer Algorithm to Address a Direct Current Brushless Motor Design Problem

Cited by 15 publications

References 31 publications

Review and analysis for the Red Deer Algorithm

Review and analysis for the Red Deer Algorithm

Metaheuristics for a bi-objective green vendor managed inventory problem in a two-echelon supply chain network

A Location-Routing Model for Assessment of the Injured People and Relief Distribution under Uncertainty

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