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

Multiple jobs are processed simultaneously on a given batch processing machine in parallel
batching. The resulting batch is called a p-batch. Batching can lead to reduced production …

Parameter tuning, that is, to find appropriate parameter settings (or configurations) of
algorithms so that their performance is optimized, is an important task in the development …

In this paper, a novel multi-objective integrated sustainable-resilient mixed integer linear
programming model for designing a pharmaceutical supply chain network under uncertainty …

The design of distribution systems raises hard combinatorial optimization problems. For
instance, facility location problems must be solved at the strategic decision level to place …

Increasing environmental, legislative, and social concerns are forcing companies to take a
fresh view of the impact of supply chain operations on environment and society when …

This paper presents several heuristics for a variation of the vehicle routing problem in which
the transportation fleet is composed of electric vehicles with limited autonomy in need for …

The objective of facility location models is to maximize the profit or minimize the cost of a
company that wishes to expand or enter the market. The market share captured by facilities …

Recently, there is a growing concern about the environmental and social footprint of
business operations. While most of the papers in the field of supply chain network design …

Hyper-heuristics comprise a set of approaches that aim to automate the development of
computational search methodologies. This chapter overviews previous categorisations of …