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New Perspectives on Applied Industrial Ergonomics
This book reports the most recent, advanced, successful, and real applications of ergonomics in order to improve the human well-being and performance in a short term, as well as the organizational performance in a long term. The book is organized as follows: Physical Ergonomics. This section reports case studies where physical risk factors are presented in the workplace, such as physical risk factors including uncomfortable body postures, repetitive movements, force application, manual material handling, and physical environmental conditions. In addition, case studies must report applications from physical ergonomics methods, for instance, RULA, REBA, OWAS, NIOSH, JSI, Suzane Rodgers, ERIN, ...
Trends in Industrial Engineering Applications to Manufacturing Process
This book covers supply chain and logistics, production and manufacturing systems as well as human factors. Topics such as applications to procurements from suppliers, suppliers developments and relationships with suppliers are reported. The techniques and tools applied to production processes, such as, machinery maintenance and quick changeover, are described in detail. The book also presents human factors as the main component in the industrial engineering field, reporting some successful teamwork organizations for improvements and applied ergonomics, among others.
Evaluating Mental Workload for Improved Workplace Performance
Employees of different labor sectors are involved in different projects and pressed to deliver results in a specific period of time, which increases their mental workload. This increase can lead to a high mental workload, which in turn leads to a decline in job performance. Therefore, strategies for managing mental workload and promoting mental health have become necessary for corporate success. Evaluating Mental Workload for Improved Workplace Performance is a critical scholarly book that provides comprehensive research on mental workload and the effects, both adverse and positive, that it can have on employee populations as well as strategies for decreasing or deleting it from the labor sector. Highlighting an array of topics such as psychosocial factors, critical success factors (CSF), and technostress, this book is ideal for academicians, researchers, managers, ergonomists, engineers, industrial designers, industry practitioners, and students.
Genetic Programming Theory and Practice XIV
These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Chapters in this volume include: Similarity-based Analysis of Population Dynamics in GP Performing Symbolic Regression Hybrid Structural and Behavioral Diversity Methods in GP Multi-Population Competitive Coevolution for Anticipation of Tax Evasion Evolving Artificial General Intelligence for Video Game Controllers A Detailed Analysis of a PushGP Run Linear Genomes for Structured Programs Neutrality, Robustness, and Evolvability i...
NEO 2015
This volume comprises a selection of works presented at the Numerical and Evolutionary Optimization (NEO) workshop held in September 2015 in Tijuana, Mexico. The development of powerful search and optimization techniques is of great importance in today’s world that requires researchers and practitioners to tackle a growing number of challenging real-world problems. In particular, there are two well-established and widely known fields that are commonly applied in this area: (i) traditional numerical optimization techniques and (ii) comparatively recent bio-inspired heuristics. Both paradigms have their unique strengths and weaknesses, allowing them to solve some challenging problems while s...
Artificial Evolution
This book constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Artificial Evolution, EA 2019, held in Mulhouse, France, in October 2019. The 16 revised papers were carefully reviewed and selected from 33 submissions. The papers cover a wide range of topics in the field of artificial evolution, such as evolutionary computation, evolutionary optimization, co-evolution, artificial life, population dynamics, theory, algorithmic and modeling, implementations, application of evolutionary paradigms to the real world (industry, biosciences...), other biologically-inspired paradigms (swarm, artificial ants, artificial immune systems, cultural algorithms...), memetic algorithms, multi-objective optimization, constraint handling, parallel algorithms, dynamic optimization, machine learning and hybridization with other soft computing techniques.
Research Anthology on Changing Dynamics of Diversity and Safety in the Workforce
The recent COVID-19 pandemic has emphasized the importance of safety and ergonomics in the workplace. From work-life balance and mental health to risk prevention, maintaining a healthy and happy workforce has become essential for the progress of every company. Moreover, ensuring inclusive spaces has become a pillar of business with some worrying that the diversity agenda will be overshadowed by the recent pandemic. It is imperative that current research is compiled that sheds light on the advancements being made in promoting diversity and wellbeing in the modern workforce. The Research Anthology on Changing Dynamics of Diversity and Safety in the Workforce is a comprehensive reference source...
EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V
This volume encloses research articles that were presented at the EVOLVE 2014 International Conference in Beijing, China, July 1–4, 2014. The book gathers contributions that emerged from the conference tracks, ranging from probability to set oriented numerics and evolutionary computation; all complemented by the bridging purpose of the conference, e.g. Complex Networks and Landscape Analysis, or by the more application oriented perspective. The novelty of the volume, when considering the EVOLVE series, comes from targeting also the practitioner’s view. This is supported by the Machine Learning Applied to Networks and Practical Aspects of Evolutionary Algorithms tracks, providing surveys on new application areas, as in the networking area and useful insights in the development of evolutionary techniques, from a practitioner’s perspective. Complementary to these directions, the conference tracks supporting the volume, follow on the individual advancements of the subareas constituting the scope of the conference, through the Computational Game Theory, Local Search and Optimization, Genetic Programming, Evolutionary Multi-objective optimization tracks.
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Mathematical Modeling of Groundwater Pollution
Groundwater is one of the most important resources in the world. In many areas, water supplies for industrial, domestic, and agricultural uses are de pendent on groundwater. As an "open" system, groundwater may exchange mass and energy with its neighboring systems (soil, air, and surface water) through adsorption, ion-exchange, infiltration, evaporation, inflow, outflow, and other exchange forms. Consequently, both the quantity and quality of groundwater may vary with environmental changes and human activities. Due to population growth, and industrial and agricultural development, more and more groundwater is extracted, especially in arid areas. If the groundwater management problem is not seriously considered, over extraction may lead to groundwater mining, salt water intrusion, and land subsidence. In fact, the quality of groundwater is gradually deteriorating throughout the world. The problem of groundwater pollution has appeared, not only in developed countries, but also in developing countries. Ground water pollution is a serious environmental problem that may damage human health, destroy the ecosystem, and cause water shortage.
