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Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06519-0
Abstract: This paper investigates the performance of several meta-heuristic algorithms, including Particle Swarm Optimisation (PSO), different variants of Differential Evolution (DE), Biogeography-Based Optimisation (BBO), Cultural Algorithm (CA), Optics-Inspired Optimisation (OIO), and League Championship Algorithm (LCA), for optimum layup of…
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Keywords:
meta heuristics;
different algorithms;
assessment meta;
performance assessment ... See more keywords
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Published in 2022 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-021-11204-4
Abstract: This paper proposes a robust and high embedding capacity watermarking technique where two watermarks are embedded in a color image. A gray-scale image is embedded as one of the watermarks to identify the ownership of…
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Keywords:
image;
performance;
meta heuristics;
color ... See more keywords
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Published in 2021 at "Wireless Personal Communications"
DOI: 10.1007/s11277-021-08659-x
Abstract: A wireless sensor networks (WSN’s) has stimulated significant research work among the researchers in monitoring and tracking tasks. It’s a quite challenging task that needs to cope up with various conflicting issues such as energy…
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Keywords:
meta heuristics;
work;
heuristics solutions;
heuristics meta ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3005318
Abstract: Nonlinear Model-based Predictive Control (NMPC) is a relevant research area having applications in the industrial sector. Traditionally, in this technique, gradient descent algorithms have been used to solve the related optimization problem. More recently, bio-inspired…
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Keywords:
control;
predictive control;
based predictive;
model based ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3273298
Abstract: Meta-heuristics are commonly applied to solve various global optimization problems. In order to make the meta-heuristics performing a global search, balancing their exploration and exploration ability is still an open avenue. This manuscript proposes a…
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Keywords:
opposition based;
based learning;
meta;
exploration ... See more keywords
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Published in 2023 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2022.3151648
Abstract: This paper addresses a distributed lot-streaming permutation flow shop scheduling problem that has various applications in real-life manufacturing systems. We aim to optimally assign jobs to multiple distributed factories and sequence them to minimize the…
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Keywords:
lot streaming;
flow shop;
distributed lot;
streaming permutation ... See more keywords
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Published in 2019 at "FME Transactions"
DOI: 10.5937/fmet1904699a
Abstract: Manufacturing activities and production control are constantly growing. Despite this, it is necessary to improve the increasing variety of scheduling and layout adjustments for dynamic and flexible responses in volatile environments with disruptions or failures.…
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Keywords:
meta heuristics;
system;
mas meta;
centered hybrid ... See more keywords