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This book presents the state-of-the-art methods in Linear Integer
Programming, including some new algorithms and heuristic methods
developed by the authors in recent years. Topics as Characteristic
equation (CE), application of CE to bi-objective and
multi-objective problems, Binary integer problems, Mixed-integer
models, Knapsack models, Complexity reduction, Feasible-space
reduction, Random search, Connected graph are also treated.
The application of contemporary and emerging operational research
optimization methods in renewable energy is vital to creating and
maintaining sustainable environments across the planet. More
research is needed to understand how modern and innovative
technological solutions can enhance accessible global energy.
Operational Research for Renewable Energy and Sustainable
Environments is a critical scholarly resource that examines the
efficient use of modern electrical technology and renewable energy
sources that have a positive impact on sustainable development.
Highlighting topics such as cogeneration thermal modules,
photovoltaic (PV) solar, and renewable energy systems (RES)
application practices, this publication is geared towards
academics, advocates, government officials, policymakers, humanized
managers, practitioners, professionals, and students interested in
the latest research on renewable energy and clean technology for
sustainable rural development.
Advances of Artificial Intelligence in a Green Energy Environment
reviews the new technologies in intelligent computing and AI that
are reducing the dimension of data coverage worldwide. This
handbook describes intelligent optimization algorithms that can be
applied in various branches of energy engineering where uncertainty
is a major concern. Including AI methodologies and applying
advanced evolutionary algorithms to real-world application problems
for everyday life applications, this book considers distributed
energy systems, hybrid renewable energy systems using AI methods,
and new opportunities in blockchain technology in smart energy.
Covering state-of-the-art developments in a fast-moving technology,
this reference is useful for engineering students and researchers
interested and working in the AI industry.
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