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If you want to understand the LFOA, You
have to read the information below.
Fruit
Fly Optimization Algorithm (FFOA) Introduction
The book entitled by “Innovative
Computational Intelligence: A Rough Guide to 134 Clever Algorithms”, by “Bo
Xing and Wen-Jing Gao, 2014, Springer.
Part II Biology-based CI Algorithms: Fruit Fly Optimization Algorithm (FFOA)
Chapter
11:
In this chapter, we present a novel
optimization algorithm called fruit fly optimization algorithm (FFOA) which is
inspired by the behavior of fruit flies. We first describe the general knowledge
about the foraging behavior of fruit flies in Sect. 11.1. Then, the fundamentals
and performance of FFOA are introduced in Sect. 11.2. Finally, Sect. 11.3
summarizes this chapter.
Foreword
to this book
Innovative Computational Intelligence: A Rough Guide to 134 Clever
Algorithms”
Computational intelligence (CI) is a
relatively new discipline, and accordingly, there is little agreement about its
precise definition. Nevertheless, most academicians and practitioners would
include techniques such as artificial neural network, fuzzy systems, many
versions of evolutionary algorithms (e.g. evolution strategies, genetic
algorithm, genetic programming, differential evolution), as well as ant colony
optimization, artificial immune systems, multi-agent systems, particle swarm
optimization, and the hybridization versions of these, under the umbrella of
CI.
In contrast to this common trend, Bo and
Wen-Jing offer us a brand new perspective in the field of CI research through
their book entitled Innovative Computational Intelligence: A Rough Guide to 134
Clever Algorithms.
This
book is unique because it contains in one source an overview of a wide range of
newly developed CI algorithms that are normally found in scattered resources.
The authors succeed in identifying this vast amount of novel CI algorithms
and grouping them into four large classes, namely, biology-, physics-,
chemistry-, and mathematics-based CI algorithms.
Furthermore, the organization of the book is
such that each algorithm covered in the book contains the corresponding core working principles and some
preliminary performance evaluations. This style would, no doubt, lead to
the further development of these fascinating algorithms. This book will be
beneficial to a broad audience: First, university students, particularly those pursuing
their postgraduate studies in advanced subjects; Second, the algorithms introduced
in this book can serve as foundations for researchers to build bodies of
knowledge in the fast growing area of CI research; Finally, practitioners can also
use the algorithms presented in this book to solve and analyze specific
real-world problems. Overall, this book makes a worthwhile read and is a
welcome edition to the CI literature.
By Zbigniew Michalewicz
Adelaide, Australia, September 2013