This paper provides an extensive review of the popular multi-objective optimization
algorithm NSGA-II for selected combinatorial optimization problems viz. assignment …

Previous researchers have made impressive strides in develo** algorithms and solution
methodologies to address multi-objective optimization (MOO) problems in industrial …

For the past eight years, cloud manufacturing as a new manufacturing paradigm has
attracted a large amount of research interest worldwide. The aim of cloud manufacturing is to …

Facing increasingly serious ecological problems, sustainable development and green
manufacturing have attracted much attention. Meanwhile, with the development of …

We present the design of an algorithm to maximize the number of bugs found for black-box
mutational fuzzing given a program and a seed input. The major intuition is to leverage white …

Sustainability considerations in manufacturing scheduling, which is traditionally influenced
by service oriented performance metrics, have rarely been adopted in the literature. This …

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 …

The urgent mission for carbon peak and carbon neutrality is demanding greater industrial
sustainability. Energy-efficient hybrid flow shop scheduling problem (EEHFSP) has been …

In this paper, a competitive memetic algorithm (CMA) is proposed to solve the multi-objective
distributed permutation flow-shop scheduling problem (MODPFSP) with the makespan and …

The hybrid flowshop scheduling problem (HFSP) has been widely studied in the past
decades. The most commonly used criterion is production efficiency. Green criteria, such as …