Scheduling involving no-wait in process plays an important role in industries such as plastic,
chemical, and pharmaceutical. Moreover, many scheduling problems in other industries …

The first comprehensive survey paper on scheduling problems with separate setup times or
costs was conducted by [Allahverdi, A., Gupta, JND, Aldowaisan, T., 1999. A review of …

Genetic algorithms (GAs) have become popular as a means of solving hard combinatorial
optimization problems. The first part of this chapter briefly traces their history, explains the …

The term 'Memetic Algorithms'[74](MAs) was introduced in the late 80s to denote a family of
metaheuristics that have as central theme the hybridization of different algorithmic …

Memetic algorithms are optimization techniques based on the synergistic combination of
ideas taken from different algorithmic solvers, such as population-based search (as in …

This paper addresses the problem of making sequencing and scheduling decisions for n
jobs–m-machines flow shops under lot sizing environment. Lot streaming (Lot sizing) is the …

In this article, a water wave optimization algorithm with a single wave mechanism, called
single water wave optimization (SWWO), is proposed to solve the no-wait flow-shop …

One of the most important decisions in any manufacturing company is how to schedule the
operations on the available machines. In several industries, the nature of the job imposes …

In this paper, we addressed the problem of scheduling jobs in a no-wait flow shop with
sequence-dependent setup times with the objective of minimizing the total flow time. As this …

Genetic algorithms are a very popular heuristic which have been successfully applied to
many optimization problems within the last 30 years. In this chapter, we give a survey on …