Hybrid Machine Learning and Modified Teaching Learning-Based English Optimization Algorithm for Smart City Communication

Sustainability, Год журнала: 2023, Номер 15(15), С. 11535 - 11535

Опубликована: Июль 26, 2023

This paper introduces a hybrid algorithm that combines machine learning and modified teaching learning-based optimization (TLBO) for enhancing smart city communication energy management. The primary objective is to optimize the systems, which face challenges due their high population density. proposed integrates strengths of techniques, more specifically, long short-term memory (LSTM) technique, with algorithms. To achieve optimization, learns from historical data on consumption patterns specific modeled system. By leveraging these insights, it can predict future accurately. Additionally, incorporates approach inspired by process in classrooms. It adjusts system parameters based feedback received system, thereby optimizing both systems. effectiveness evaluated through case study conducted test where are analyzed. results demonstrate efficiently optimizes management leading substantial savings improved efficiency within In conclusion, this presents effectively addresses Moreover, holds potential application various domains beyond findings research contribute advancement technologies offer valuable insights into reducing densely populated urban areas.

Язык: Английский

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Critical Review on the Objective Function of Flexible Job Shop Scheduling

Mathematical Problems in Engineering, Год журнала: 2022, Номер 2022, С. 1 - 18

Опубликована: Окт. 8, 2022

The nature of construction and formulation the multi-objective functions in flexible job shop (FJS) provides great insights about study technique mechanism scheduling helping to prioritize efforts for optimizing manufacturing execution performance, which draw focus researchers at home abroad. From perspective model, solution method objective function, this paper reviews analyzes related academic papers conferences articles during past few years. As a result, forms function scenarios show strongly positive correlation with Makespan, delivery tardiness, energy consumption or cost. Consequently, facing characteristic general way, detailed analysis on problem (FJSP) is critical reviewed, total 6 types 49 kinds classification are discussed. Obviously, main goals summarize, analyze, discuss, synthesize existing achievements, current research status, ongoing studies FJSP construction, additionally give useful insight into future research. Combined development trend intelligent operations research, arguing multi-obj. review expected contribute FJSP.

Язык: Английский

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An Evaluation of Mathematical Programming and Lower-Bound Methods for Hybrid Flow Shop Problems With a Makespan Criterion

IEEE Access, Год журнала: 2023, Номер 11, С. 41368 - 41386

Опубликована: Янв. 1, 2023

This paper considers the hybrid flow shop scheduling problem, where jobs are processed in m stages with same route of stage. Each stage has identical parallel machines for processing jobs. Some mathematical programming formulations and lower bound calculations have been proposed literature such cases. Nevertheless, there is a lack complete comparisons these bounds literature. In this paper, we propose new mixed integer model two based on bin-packing concept considered problem. To evaluate model, sets small small-to-medium problems used to compare our existing models. Moreover, propositions discussed bounds. The experimental results show that efficiently found optimal solutions because it needs smaller number binary variables constraints, can also serve as strong indicator distances between obtained by heuristic algorithms solution.

Язык: Английский

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An Elite-Class Teaching-Learning-Based Optimization for Reentrant Hybrid Flow Shop Scheduling with Bottleneck Stage

Computers, materials & continua/Computers, materials & continua (Print), Год журнала: 2024, Номер 79(1), С. 47 - 63

Опубликована: Янв. 1, 2024

Язык: Английский

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Distributed sparsity constrained optimization over the Stiefel manifold

Neurocomputing, Год журнала: 2024, Номер 602, С. 128267 - 128267

Опубликована: Июль 26, 2024

Язык: Английский

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