Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Artificial intelligence --- Evolutionary computation

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Reversible computing --- Reverse computation --- Reversible computation --- Computer science --- Reverse mathematics

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Evolutionary computation. --- Computation, Evolutionary --- Neural networks (Computer science) --- Computació evolutiva

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book presents an extensive variety of multi-objective problems across diverse disciplines, along with statistical solutions using multi-objective evolutionary algorithms (MOEAs). The topics discussed serve to promote a wider understanding as well as the use of MOEAs, the aim being to find good solutions for high-dimensional real-world design applications. The book contains a large collection of MOEA applications from many researchers, and thus provides the practitioner with detailed algorithmic direction to achieve good results in their selected problem domain.

Combinatorial optimization. --- Evolutionary computation. --- Computation, Evolutionary --- Neural networks (Computer science) --- Optimization, Combinatorial --- Combinatorial analysis --- Mathematical optimization --- Combinatorial optimization --- Evolutionary computation

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

"Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, and multi-objective optimization. This book can serve as an introductory book for graduates, for lecturers in computer science, engineering and natural sciences, and as a source of inspiration for new applications"--

Nature-inspired algorithms. --- Algorithms --- Natural computation