Recent Developments In Metaheuristics (operations Research/computer Science Interfaces Series)
by El-Ghazali Talbi /
2017 / English / EPUB
5.4 MB Download
This book highlights state-of-the-art developments in
metaheuristics research. It examines all aspects of metaheuristic
research including new algorithmic developments, applications, new
research challenges, theoretical developments, implementation
issues, in-depth experimental studies. The book is divided into two
sections. Part I is focused on new optimization and modeling
techniques based on metaheuristics. The chapters in this section
cover topics from multi-objective problems with fuzzy data with
triangular-valued objective functions, to hyper-heuristics
optimization methodology, designing genetic algorithms, and also
the cuckoo search algorithm. The techniques described help to
enhance the usability and increase the potential of metaheuristic
algorithms. Part II showcases advanced metaheuristic approaches to
solve real-life applications issues. This includes an examination
of scheduling, the vehicle routing problem, multimedia sensor
network, supplier selection, bin packing, objects tracking, and
radio frequency identification. In the fields covered in the
chapters are of high-impact applications of metaheuristics. The
chapters offer innovative applications of metaheuristics that have
a potential of widening research frontiers. Altogether, this book
offers a comprehensive look at how researchers are currently using
metaheuristics in different domains of design and application.
This book highlights state-of-the-art developments in
metaheuristics research. It examines all aspects of metaheuristic
research including new algorithmic developments, applications, new
research challenges, theoretical developments, implementation
issues, in-depth experimental studies. The book is divided into two
sections. Part I is focused on new optimization and modeling
techniques based on metaheuristics. The chapters in this section
cover topics from multi-objective problems with fuzzy data with
triangular-valued objective functions, to hyper-heuristics
optimization methodology, designing genetic algorithms, and also
the cuckoo search algorithm. The techniques described help to
enhance the usability and increase the potential of metaheuristic
algorithms. Part II showcases advanced metaheuristic approaches to
solve real-life applications issues. This includes an examination
of scheduling, the vehicle routing problem, multimedia sensor
network, supplier selection, bin packing, objects tracking, and
radio frequency identification. In the fields covered in the
chapters are of high-impact applications of metaheuristics. The
chapters offer innovative applications of metaheuristics that have
a potential of widening research frontiers. Altogether, this book
offers a comprehensive look at how researchers are currently using
metaheuristics in different domains of design and application.