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A Reinforcement Learning Driven Cooperative Meta-Heuristic Algorithm for Energy-Efficient Distributed No-Wait Flow-Shop Scheduling With Sequence-Dependent Setup Time

IEEE Transactions on Industrial Informatics, 2023
Green manufacturing has attracted increasing attention under the background of carbon peaking and carbon neutrality. Distributed production has widely existed in various manufacturing industries with the development of globalization.
Fuqing Zhao, Tao Jiang, Ling Wang
semanticscholar   +1 more source

New hybrid meta-heuristic algorithm for reliable and cost-effective designing of photovoltaic/wind/fuel cell energy system considering load interruption probability

, 2021
In this paper optimal and cost-effective design of a photovoltaic/wind turbine/fuel cell (PV/WT/FC), the renewable energy system is proposed with the objective of lifespan cost of hybrid system (LSCS) minimisation and considering reliability constraint ...
Mariye Jahannoosh   +6 more
semanticscholar   +1 more source

Meta-Heuristic Algorithm Enabled Artificial Neural Network for Heart Disease Diagnosis Using IoT Smart Sensors

2023 Third International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS), 2023
This research work presents a meta-heuristic algorithm enabled Artificial Neural Network (ANN) for heart disease diagnosis using Internet of Things (IoT) smart sensors. This proposed system provides real-time heart rate monitoring via tangible wearable's
Bharatwaja Namatherdhala   +3 more
semanticscholar   +1 more source

Affine invariance of meta-heuristic algorithms

Information Sciences, 2021
Abstract An algorithm whose performance depends on the objective function being aligned with a privileged coordinate system is a poor choice in general because it is unlikely that the optimal orientation will be known in advance. In this paper, a property of meta-heuristic algorithms, named affine invariance, is introduced to verify whether the ...
ZhongQuan Jian, GuangYu Zhu
openaire   +1 more source

Meta-heuristic bus transportation algorithm

Iran Journal of Computer Science, 2018
Over recent decades, several experience-based mathematical models have been proposed. In addition to collective intelligence, in recent years some efforts have been made to apply human experience-based intelligence to open up a new world of possibilities to design new meta-heuristic algorithms for solving NP problems.
Mohammad Bodaghi, Koosha Samieefar
openaire   +1 more source

Image Segmentation Using Meta-heuristic Algorithms

2018 International Conference on Computing, Power and Communication Technologies (GUCON), 2018
In this paper, inter-class variance of the two classes of image pixels formed on either side of the threshold value is maximized to perform image segmentation. This process has been automated by the use of evolutionary meta-heuristic algorithms such as Bat Algorithm (BA), Cuckoo Search Algorithm (CSA) and Interior Search Algorithm (ISA).
Varun Saxena   +2 more
openaire   +1 more source

Mobile edge server placement based on meta-heuristic algorithm

Journal of Intelligent & Fuzzy Systems, 2021
The rapid development of the Internet of Things and 5G networks have generated a large amount of data. By offloading computing tasks from mobile devices to edge servers with sufficient computing resources, network congestion and data transmission delays ...
Feiyan Guo, B. Tang, Jiaming Zhang
semanticscholar   +1 more source

Microphone placement through meta-heuristic algorithms

2019 Signal Processing Symposium (SPSympo), 2019
This work deals with the problem of sub-optimal placement of microphones in array. The issue of the position of individual microphones is of great importance in the design process of broadband beamforming systems and should not be omitted. In the classic approach, filter coefficients are determined for the determined distribution of microphones so that
Agnieszka Wielgus, Boguslaw Szlachetko
openaire   +1 more source

Introducing an effective meta-heuristic algorithm: Cosmogony algorithm (CA)

Journal of Intelligent & Fuzzy Systems, 2020
The purpose of this paper is to introduce a new meta-heuristic algorithm and apply this for solving a multi-objective flexible job-shop scheduling problem. The name of this algorithm is Cosmogony (CA). This algorithm has inspired by the ecosystem process of creatures and their environment.
Shahsavari-Pour, Nasser   +2 more
openaire   +1 more source

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