This paper proposes a novel nature-inspired optimization algorithm called the Fox optimizer
(FOX) which mimics the foraging behavior of foxes in nature when hunting preys. The …

The firefly algorithm (FA) is a swarm intelligence-based algorithm and has been shown to be
effective in solving nonlinear optimization problems, especially multimodal problems where …

Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all
major nature-inspired algorithms for optimization. The book's unified approach, balancing …

Nature-inspired computation has become popular in engineering applications and nature-
inspired algorithms tend to be simple and flexible and yet sufficiently efficient to deal with …

Nature-inspired algorithms, especially those based on swarm intelligence, have been
successfully applied to solve a variety of optimization problems in real-world applications …

Firefly algorithm (FA) is a new meta-heuristic optimisation algorithm, which simulates the
social behaviour of fireflies based on the flashing and attraction characteristics of fireflies …

Firefly algorithm (FA) is a new swarm intelligence optimization method, which has shown
good search abilities on many optimization problems. However, the performance of FA …

Separating a given data set into groups (clusters) based on their natural similar
characteristics is one of the main concerns in data clustering. A cluster can be defined as a …

Understanding shear behavior is crucial for the design of reinforced concrete beams and
sustainability in construction and civil engineering. Although numerous studies have been …

Firefly algorithm (FA) is a new swarm intelligence optimization algorithm, which has shown
an effective performance on many optimization problems. However, it may suffer from …