A multiobjective optimization problem involves several conflicting objectives and has a set of
Pareto optimal solutions. By evolving a population of solutions, multiobjective evolutionary …

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 …

In this paper, a discrete artificial bee colony (DABC) algorithm is proposed to solve the lot-
streaming flow shop scheduling problem with the criterion of total weighted earliness and …

Software quality engineering comprises of several quality assurance activities such as
testing, formal verification, inspection, fault tolerance, and software fault prediction. Until …

The focus of production optimization is moving increasingly from mass production to mass
customization. The production planning and scheduling of such production systems is very …

This paper presents a novel discrete differential evolution (DDE) algorithm for solving the no-
wait flow shop scheduling problems with makespan and maximum tardiness criteria. First …

This paper provides a short review of some of the main topics in which the current research
in evolutionary multi-objective optimization is being focused. The topics discussed include …

The real life scheduling problems often have several conflicting objectives. The solutions of
these problems can provide deeper insights to the decision maker than those of single …

In scheduling problems with learning effects, most of the research is based on specific
learning functions. In this paper, we develop a general model with learning effects where the …

A new optimality criterion based on preference order (PO) scheme is used to identify the
best compromise in multi-objective particle swarm optimization (MOPSO). This scheme is …