The purpose of this book is to collect contributions that deal with the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems. Such a collection intends to provide an overview of the state-of-the-art developments in this field, with the aim of motivating more researchers in operations research, engineering, and computer science, to do research in this area. As such, this book is expected to become a valuable reference for those wishing to do research on the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems
Combinatorial optimization problems are often considered NP-hard problems in the field of decision s...
Many problems in science and engineering can be formulated as optimization problems, subject to comp...
Bioinspired computation methods, such as evolutionary algorithms and ant colony optimization, are be...
The purpose of this book is to collect contributions that deal with the use of nature inspired metah...
The book provides readers with a snapshot of the state of the art in the field of nature-inspired co...
Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspi...
This book presents a systematic approach to analyze nature-inspired algorithms. Beginning with an in...
To many people, the terms nature-inspired algorithm and metaheuristic are interchangeable. However, ...
Powerpoint presentationBioinspired computation methods, such as evolutionary algorithms and ant colo...
In the past few decades, metaheuristics have demonstrated their suitability in addressing complex pr...
Many real-world optimization problems can be modelled as combinatorial optimization problems. Often,...
Series: Lecture Notes in Economics and Mathematical Systems, Vol. 535. ISBN: 978-3-540-20637-8The su...
Many real-world optimization problems can be modelled as combinatorial optimization problems. Often,...
Research in metaheuristics for combinatorial optimization problems has lately experienced a notewort...
This textbook provides a comprehensive introduction to nature-inspired metaheuristic methods for sea...
Combinatorial optimization problems are often considered NP-hard problems in the field of decision s...
Many problems in science and engineering can be formulated as optimization problems, subject to comp...
Bioinspired computation methods, such as evolutionary algorithms and ant colony optimization, are be...
The purpose of this book is to collect contributions that deal with the use of nature inspired metah...
The book provides readers with a snapshot of the state of the art in the field of nature-inspired co...
Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspi...
This book presents a systematic approach to analyze nature-inspired algorithms. Beginning with an in...
To many people, the terms nature-inspired algorithm and metaheuristic are interchangeable. However, ...
Powerpoint presentationBioinspired computation methods, such as evolutionary algorithms and ant colo...
In the past few decades, metaheuristics have demonstrated their suitability in addressing complex pr...
Many real-world optimization problems can be modelled as combinatorial optimization problems. Often,...
Series: Lecture Notes in Economics and Mathematical Systems, Vol. 535. ISBN: 978-3-540-20637-8The su...
Many real-world optimization problems can be modelled as combinatorial optimization problems. Often,...
Research in metaheuristics for combinatorial optimization problems has lately experienced a notewort...
This textbook provides a comprehensive introduction to nature-inspired metaheuristic methods for sea...
Combinatorial optimization problems are often considered NP-hard problems in the field of decision s...
Many problems in science and engineering can be formulated as optimization problems, subject to comp...
Bioinspired computation methods, such as evolutionary algorithms and ant colony optimization, are be...