Data envelopment analysis and interdiction median problem with fortification for enabling IoT technologies to relieve potential attacks

Khanduzi, Raheleh; Peyghami, M. Reza; Sangaiah, Arun Kumar

doi:10.1016/j.future.2017.08.056

Cited by 18 publications

(7 citation statements)

References 47 publications

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“…The remaining problems, which are combinations of the above six MOCOPs, are considered under the category of miscellaneous problems. The problems included in this category are resource allocation supply chain scheduling and VRP [194], resource allocation and activity scheduling for fourth-party logistics [195], sustainable hub locationscheduling problem for perishable food supply chain [196], routing and scheduling of ships [197], location-routing problem [198], [199], [118], [200], [201], [202], integrated maintenance scheduling and VRP [203], travelling thief problem [204], lock scheduling and berth allocation [205], assignment-allocation [206], nursing home location-allocation problem [207], location-allocation problem [208], high-level synthesis problem [209], industrial hazardous waste locationrouting problem [210], and multi-objective RWA network design problem [211].…”

Section: Knapsack Problemmentioning

confidence: 99%

“…The proposed approach has better convergence and solution quality as compared to the classical NSGA-II. Real-world TTSP Experiment & a TTSP for 2 units under test UUTs GA, Genetic simulated annealing algorithm (GASA) [141] iMOPSE Benchmark Dataset 5 DEGR, NSGA-II [136] Standard benchmark instances 6 NSGA-II [139] Problem instances from (PSPLIB) 7 AUGMECON2, MOPSO [151] Experiment NSGA-II, NSPSO [177] Test Instances generated through RaGEN software ECM [126] Randomly Generated AUGMECON [181] -NSGA-II [155] Experiment conducted through randomly generated data NSGA-II & SPEA-II [184] Simulation Scenario RANDOM, FIRMM [189] Experimental test NSGA-II [144] -- [127] Modified Deterministic FJSPs into Stochastic Problems NRGA [188] Randomly Generated Controlled elitist NSGA, NSGA-II [125] Test [193] -- [147] Randomly Generated Numerical example MOPSO [191] Randomly Generated - [183] -GA [161] Randomly generated instances for unrelated parallel machine - [195] -- [212] Randomly Generated SPEA [203] Sample test problems ECM [202] Sample test problems MOPSO [200] Randomly Generated NSDE [204] Randomly Generated Greedy Method, ISA, ISA-LOCAL [196] CAB & AP datasets 10 AUGMECON [209] -- [206] Randomly Generated Weighted Metric Approach [207] -ECM, Multi-objective simulated annealing (MOSA) [198] Randomly Generated SSPMO, WSM & ECM…”

Section: E) Scheduling Problemmentioning

confidence: 99%

“…In the field of system protection, Khanduzi et al [206] applied the NSGA-II and Weighted metric method to solve a new integrated assignment allocation model with two objectives that maximize the sum of the efficiency of DMUs and minimize the total distance between customers and facilities. The genetic operators used in NSGA-II are TPX, single and inversion mutations.…”

Section: G) Miscellaneousmentioning

confidence: 99%

See 2 more Smart Citations

A Comprehensive Review on NSGA-II for Multi-Objective Combinatorial Optimization Problems

2021

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This paper provides an extensive review of the popular multi-objective optimization algorithm NSGA-II for selected combinatorial optimization problems viz. assignment problem, allocation problem, travelling salesman problem, vehicle routing problem, scheduling problem, and knapsack problem. It is identified that based on the manner in which NSGA-II has been implemented for solving the aforementioned group of problems, there can be three categories: Conventional NSGA-II, where the authors have implemented the basic version of NSGA-II, without making any changes in the operators; the second one is Modified NSGA-II, where the researchers have implemented NSGA-II after making some changes into it and finally, Hybrid NSGA-II variants, where the researchers have hybridized the conventional and modified NSGA-II with some other technique. The article analyses the modifications in NSGA-II and also discusses the various performance assessment techniques used by the researchers, i.e., test instances, performance metrics, statistical tests, case studies, benchmarking with other state-of-the-art algorithms. Additionally, the paper also provides a brief bibliometric analysis based on the work done in this study.

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Section: Knapsack Problemmentioning

confidence: 99%

Section: E) Scheduling Problemmentioning

confidence: 99%

Section: G) Miscellaneousmentioning

confidence: 99%

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A Comprehensive Review on NSGA-II for Multi-Objective Combinatorial Optimization Problems

2021

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“…Possible malicious use is easily foreseeable and a rise throughout the coming years in cybercrime activities is already predicted . However, it should be pointed out that extensive research is done toward the protection of infrastructure elements − and toward IoT-based systems …”

Section: Sensor Solutions For Point-of-care and In Vivo Detectionmentioning

confidence: 99%

A Megatrend Challenging Analytical Chemistry: Biosensor and Chemosensor Concepts Ready for the Internet of Things

2019

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The Internet of Things (IoT) is a megatrend that cuts across all scientific and engineering disciplines and establishes an integrating technical evolution to improve production efficiencies and daily human life. Linked machines and sensors use decision-making routines to work toward a common product or solution. Expanding this technical revolution into the value chain of complex areas such as agriculture, food production, and healthcare requires the implementation and connection of sophisticated (bio)analytical methods. Today, wearable sensors, monitors, and point-of-care diagnostic tests are part of our daily lives and improve patients’ medical progression or athletes’ monitoring capabilities that are already beyond imagination. Also, early contributions toward sensor networks and finally the IT revolution with wireless data collection and transmission via Bluetooth or smartphones have set the foundation to connect remote sensors and distributed analytical chemical services with centralized laboratories, cloud storage, and cloud computing. Here, we critically review those biosensor and chemosensor technologies and concepts used in an IoT setting or considered IoT-ready that were published in the period 2013–2018, while also pointing to those foundational concepts and ideas that arose over the last two decades. We focus on these sensors due to their unique ability to be remotely stationed and that easily function in networks and have made the greatest progress toward IoT integration. Finally, we highlight requirements and existing and future challenges and provide possible solutions important toward the vision of a seamless integration into a global analytical concept, which includes many more analytical techniques than sensors and includes foremost next-generation sequencing and separation principles coupled with MS detection.

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“…Technicians, vehicles, poles, consumers, and wind turbines, are 'things' in the broader view of IoT [81]. In short energy and utilities IoT 'to do' list: 1) focus on security [82], 2) implement cloud computing and big data and analytics pilot projects [83], 3) re-invent the end-user experience (customer or technician), 4) plan holistically and 5) pilot, learn, adapt. There exists research on employing IoT data for every analysis, with the innovative usage of new data discovery tools that can provide a high return on investment, as well as shorter paths to fault resolution and optimal operation.…”

Section: Role Of Information Technology In Terms Of the Internet Of Tmentioning

confidence: 99%

Power systems automation, communication, and information technologies for smart grid: A technical aspects review

et al. 2021

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Smart grid (SG) introduced proven power system, based on modernized power delivery system with introduction of advanced data-information and communication technologies (ICT). SGs include improved quality of power transmission/distribution from power generation to end-users with optimized power flow and efficiency. In addition to above modern automation, two-way communications, advanced monitoring, and control to optimize power quality issues are the classic features of SGs. This ensures the efficiency and reliability of all its interconnected power system elements against potential threats and life time cycle. By integrating ICT into the power system SGs improved the working capabilities of the utility companies. Resultant of ICT with SG leads to better management of assets and ensure energy management for end users. This review article presents the different areas of communication and information technology areas involved in SG automation.

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Data envelopment analysis and interdiction median problem with fortification for enabling IoT technologies to relieve potential attacks

Cited by 18 publications

References 47 publications

A Comprehensive Review on NSGA-II for Multi-Objective Combinatorial Optimization Problems

A Comprehensive Review on NSGA-II for Multi-Objective Combinatorial Optimization Problems

A Megatrend Challenging Analytical Chemistry: Biosensor and Chemosensor Concepts Ready for the Internet of Things

Power systems automation, communication, and information technologies for smart grid: A technical aspects review

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