Traditional job shop scheduling is concentrated on centralized scheduling or semi-
distributed scheduling. Under the Industry 4.0, the scheduling should deal with a smart and …

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 an effective optimization technique based on swarm intelligence,
which has been successfully applied to various practical engineering problems. In this …

Global optimization is challenging to solve due to its nonlinearity and multimodality.
Traditional algorithms such as the gradient-based methods often struggle to deal with such …

In this paper, an m-stage hybrid flow shop scheduling problem with limited workforce in
charge of performing setup operations is addressed. Indeed, such workforce represents a …

Firefly algorithm is a nature-inspired optimization algorithm and there have been significant
developments since its appearance about 10 years ago. This chapter summarizes the latest …

In today's world, a situational awareness of sustainability is becoming increasingly
important. Leaving a better world for future generations is becoming the main interest of …

Background Breast cancer is a highly predominant destructive disease among women
characterised with varied tumour biology, molecular subgroups and diverse …

Data science community has been in continuous search for inspiration from nature and
humans to solve various real‐life problems. Machine learning itself is based on the way …

Firefly algorithm (FA) is a new optimisation technique based on swarm intelligence, which
has been successfully applied to various optimisation areas. In this paper, a new FA variant …