An Intelligent Water Drop Algorithm for Solving Multi-Objective Vehicle Routing Problems With Mixed Time Windows

Wang, Tao; Ni, Jing; Wang, Yixuan

doi:10.4018/ijsds.2019010106

Cited by 3 publications

(1 citation statement)

References 32 publications

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“…As time slips by the edges of better arrangement will contain less soil. After all IWDs build their path the all-out best arrangement will be chosen and then a similar procedure will be rehashed at various occasions [30,31,32]. The accompanying calculation condenses the fundamental strides of IWDRA calculation.…”

Section: Intelligent Water Drop Algorithmmentioning

confidence: 99%

Confine Ingenious Firefly Algorithm Correlating Water Drop Algorithm for Amassment in Networks

Sharma

Batra

Zafar

2018

ICST Transactions on Scalable Information Systems

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In present internet usage scenario users (clients or customers) are utilizing distinctive physical things for different purposes. This idea takes the users into the universe of Internet of Things (IOT) which is a course of action and development of fair innovation. It allows affiliation, game plan and usage of different physical things present in the propelled universe, utilizing heterogeneous frameworks and correspondence of advances. The universe of IOT in different splendid circumstances with the infrastructure less system refereed as Mobile Ad-hoc Network (MANET) prompts an imaginative methodology altogether appealing for current customers. The monetary imaginative worldview prompts associations among adaptable and compact MANET framework with IOT shaping a structure for the data innovation. MANET based IOT paradigm gives imperative flexibility to cutting edge clients and customers by diminishing costs of associations for the significant frameworks. This leads to new testing parameters in perspective of various organizations. In this examination work, authors have proposed a controlling response for the Internet of Things structure surrounding neoteric firefly routing algorithm associated with intelligent water drop routing methodology. Both firefly routing algorithm (FRA) and intelligent water drop routing algorithm (IWDRA) performs enhancement for the customary conventions of MANET. These enhancements will give enormous advances for various real life scenarios and issues. In the proposed methodology when FRA and IWDRA were connected in customary directing convention and mimicked for advancements, firefly calculation demonstrated its value over the water drop approach. The presented results of plan's examination give a groundbreaking procedure for growth through different execution factors specified as End-to-End Delay (E2D), Normalized Routing Load (NRL), Packet Delivery Ratio (PDR), Packet Loss Ratio (PLR) and throughput for the MANET based IOT worldview. The approval of the proposed methodology through network simulator test system approach prompts new stage of reliable game plan for future system establishment.

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Section: Intelligent Water Drop Algorithmmentioning

confidence: 99%

Confine Ingenious Firefly Algorithm Correlating Water Drop Algorithm for Amassment in Networks

Sharma

Batra

Zafar

2018

ICST Transactions on Scalable Information Systems

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A Constrained Multi-Objective Evolutionary Algorithm Based on an Infeasible Archive

Ma,

Shi

2023

2023 China Automation Congress (CAC)

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Integrating Enablers of Sustainable Freight Transportation and Perishable Commodity Supply Chain

Goswami

Sarma

Kumar

2019

International Journal of Strategic Decision Sciences

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Extant research has addressed the challenges pertaining to sustainable freight transportation and those associated with transportation of perishable commodities in disparate ways in that enablers of sustainable freight transportation have not been mapped with the considerations of transportation related to perishable commodities. This is characterized by short product life-cycles, retail demand uncertainties, traceability issues and so forth. In this backdrop, the authors' research attempts to integrate the considerations related to sustainable freight transportation with that of perishability-related aspects. To this end, this research employs interpretive structural modelling (ISM) so that enablers related to both the problems can be fused and modeled in such a way that enablers related to independent, autonomous, dependent, and linkage attributes can be identified, and their interactions can be understood.

show abstract

An Intelligent Water Drop Algorithm for Solving Multi-Objective Vehicle Routing Problems With Mixed Time Windows

Cited by 3 publications

References 32 publications

Confine Ingenious Firefly Algorithm Correlating Water Drop Algorithm for Amassment in Networks

Confine Ingenious Firefly Algorithm Correlating Water Drop Algorithm for Amassment in Networks

A Constrained Multi-Objective Evolutionary Algorithm Based on an Infeasible Archive

Integrating Enablers of Sustainable Freight Transportation and Perishable Commodity Supply Chain

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