Comparison of Various Approaches in Multi-objective Particle Swarm Optimization (MOPSO): Empirical Study

Devi, S. Nirmala; Jagadev, Alok Kumar; Dehuri, Satchidananda

doi:10.1007/978-3-662-46309-3_3

Cited by 5 publications

(3 citation statements)

References 45 publications

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“…Together, the optimization functions, product purities as constraints, design variables, and initial values in Aspen Plus are incorporated with the multiobjective particle swarm optimization (MOPSO) in MATLAB via the ActiveX technology. 36 Note that some other optimization algorithms such as nondominated sorting genetic algorithm II (NSGA-II) are also widely used for MOO. 19 The optimization algorithm employed in this work was obtained from the note of Heris.…”

Section: Multiobjective Optimizationmentioning

confidence: 99%

“…19 The optimization algorithm employed in this work was obtained from the note of Heris. 36 First, the population, position, and velocity of the swarm particle are initialized and generated by using random real numbers within the specified variable range. Then, different sets used to store the nondominated solutions for different iterations are initialized.…”

Section: Multiobjective Optimizationmentioning

confidence: 99%

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Design and Multiobjective Optimization of a Novel Double Extractive Dividing Wall Column with a Side Reboiler Scheme for the Recovery of Ethyl Acetate and Methanol from Wastewater

Yang,

Kong,

Sun

et al. 2023

Ind. Eng. Chem. Res.

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This work presents the development of two novel intensified energy-efficient extractive distillation configurations for the separation of ethyl acetate and methanol from waste effluent while prioritizing economic, environmental, and safety performances. Departing from the typical three or four column extractive distillation process, we proposed two intensified processes that offer superior performance. Specifically, we introduced the extractive dividing wall column with a side reboiler (EDWC-SR), which combines the four columns into two, and the double EDWC-SR (DEDWC-SR), which combines the four columns into a single unit. Subsequently, multiobjective optimization and multicriteria decision making were used to obtain the optimum configurations for the three processes, i.e., base case, EDWC-SR, and DEDWC-SR. Both the EDWC-SR and DEDWC-SR gave better economic and environmental performances relative to the base case with slightly lowered safety performance. The DEDWC-SR gave the lowest total annual cost and CO 2 emission by 20.20 and 33.81%, respectively, and a higher safety index by 18%, relative to the base case.

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Section: Multiobjective Optimizationmentioning

confidence: 99%

Section: Multiobjective Optimizationmentioning

confidence: 99%

Design and Multiobjective Optimization of a Novel Double Extractive Dividing Wall Column with a Side Reboiler Scheme for the Recovery of Ethyl Acetate and Methanol from Wastewater

Yang,

Kong,

Sun

et al. 2023

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

show abstract

“…However, for the multi-objective problem of DG optimization proposed in this work the original PSO strategy is modified. The original goal to find a unique solution is then turned in one new array of multiple solutions, based on Pareto strategy to solve the multi-objective DG problem [14], [15].…”

Section: Pso and Mopso Algorithmmentioning

confidence: 99%

A New DG Planning Approach to Maximize Renewable - Based DG Penetration Level and Minimize Annual Loss

Najafi

Shafie‐khah

Hajibandeh

et al. 2017

IFIP Advances in Information and Communication Technology

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Hybrid Combination of Machine Learning Techniques for Diagnosis of Liver Impairment Disease in Clinical Decision Support System

Ganu

Arun

2022

Lecture Notes in Electrical Engineering

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Comparison of Various Approaches in Multi-objective Particle Swarm Optimization (MOPSO): Empirical Study

Cited by 5 publications

References 45 publications

Design and Multiobjective Optimization of a Novel Double Extractive Dividing Wall Column with a Side Reboiler Scheme for the Recovery of Ethyl Acetate and Methanol from Wastewater

Design and Multiobjective Optimization of a Novel Double Extractive Dividing Wall Column with a Side Reboiler Scheme for the Recovery of Ethyl Acetate and Methanol from Wastewater

A New DG Planning Approach to Maximize Renewable - Based DG Penetration Level and Minimize Annual Loss

Hybrid Combination of Machine Learning Techniques for Diagnosis of Liver Impairment Disease in Clinical Decision Support System

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