Intelligent computing in science and technology
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GUEST EDITORIAL
Intelligent computing in science and technology Jose Antonio Marmolejo-Saucedo1 • Pandian Vasant2
Ó Springer Science+Business Media, LLC, part of Springer Nature 2020
1 Contents
2 Editorial
Binary monkey algorithm for approximate packing noncongruent circles in a rectangular container Rafael Torres-Escobar, Jose´ Antonio Marmolejo-Saucedo and Igor Litvinchev Nature-inspired meta-heuristics approaches for charging plug-in hybrid electric vehicle Pandian Vasant, Jose Antonio Marmolejo, Igor Litvinchev and Roman Rodriguez Aguilar Vertical and horizontal integration systems in Industry 4.0 Magdiel Pe´rez-Lara, Jania Astrid Saucedo-Martı´nez, Jose´ Antonio Marmolejo-Saucedo, Toma´s Eloy SalaisFierro and Pandian Vasant Optimization of public resources through an ensemblelearning model to measure quality perception in the social protection system in health of Mexico Roman Rodriguez-Aguilar and Gustavo Rivera-Pen˜a Better campus life for visually impaired University students: intelligent social walking system with beacon and assistive technologies Utku Kose and Pandian Vasant Effect of ICT integration on SC flexibility, agility and company’ performance: the Mexican maquiladora experience Jorge Luis Garcı´a-Alcaraz, Valeria Martı´nez-Loya, Jose´ Roberto Dı´az-Reza, Julio Blanco-Ferna´ndez, Emilio Jime´nez-Macı´as and Alfonso Jesu´s Gil Lo´pez.
The requirements demand in problem solving have been increasingly in demand in exponential way. The new technologies in computer science and engineering have reduced the dimension of data coverage worldwide. Thus, the recent inventions in Information and Communications Technologies have inched towards reducing the gaps, and coverage of domains globally. The digging of information in a large data, and the soft-computing techniques have contributed a strength in prediction, analysis, and decision potentials in the niche areas such as Computer Science, Technology, Management, Social Computing, Green Computing, and Telecom. Nurturing the research in Technology and Computing are evident that finding a right pattern in the ocean of data. Additionally, classic optimization problems become even more complex in today’s organizational environment. The topics of industry 4.0, logistics, social problems solved by optimization and the classic challenges in the manufacturing industry continue to be a challenge for new developments and research. This special issue features six selected papers with high quality. The first article, ‘‘Binary monkey algorithm for approximate packing non-congruent circles in a rectangular container’’, authored by Rafael Torres-Escobar, Jose´ Antonio Marmolejo-Saucedo and Igor Litvinchev, proposed the packing problem for non-congruent (different size) circles with the binary version of the monkey algorithm which incorporates a cooperation process and a greedy strategy. The authors use a rectangular grid for covering the container. Every node in the grid represent potential positions for a circle. In this
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