Metaheuristic algorithms are computational intelligence paradigms especially used for
sophisticated solving optimization problems. This chapter aims to review of all …

In industry, production is often organized in the form of a hybrid flow shop, and there is great
interest in methods and algorithms for optimizing such production processes. While, thus far …

Multiobjective reliability-based design optimization (RBDO) is a research area, which has
not been investigated in the literatures comparing with single-objective RBDO. This work …

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 …

Firefly algorithm (FA) is a new optimization technique based on swarm intelligence. It
simulates the social behavior of fireflies. The search pattern of FA is determined by the …

This paper proposes an energy-aware multi-objective optimization algorithm (EA-MOA) for
solving the hybrid flow shop (HFS) scheduling problem with consideration of the setup …

This paper presents a state-of-the-art review on multi-objective metaheuristics for multi-
objective discrete optimization problems (MODOPs). The relevant literature source and their …

With a hypothesis that the social hierarchy of the grey wolves would be also followed in their
searching positions, an improved grey wolf optimization (GWO) algorithm with variable …

The manufacturing industry directly reflects the productivity level of a country and plays an
important role in economic and social development. However, with the development of the …

Various real-world applications can be formulated as feature selection problems, which
have been known to be NP-hard. In this paper, we propose an effective feature selection …