During the past decades scheduling has been among the most studied op- mization problems and it is still an active area of research!Schedulingappears in many areas of science, engineering and industry and takes different forms depending on the restrictions and optimization criteria of the operating en- ronments [8]. For instance, in optimization and computer science, scheduling has been defined as “the allocation of tasks to resources over time in order to achieve optimality in one or more objective criteria in an efficient way” and in production as “production schedule, i. e. , the planning of the production or the sequence of operations according to which jobs pass through machines and is optimal with respect to certain optimization criteria. ” Although there is a standardized form of stating any scheduling problem, namely “efficient allocation ofn jobs onm machines –which can process no more than one activity at a time– with the objective to optimize some - jective function of the job completion times”, scheduling is in fact a family of problems. Indeed, several parameters intervene in the problem definition: (a) job characteristics (preemptive or not, precedence constraints, release dates, etc. ); (b) resource environment (single vs. parallel machines, un- lated machines, identical or uniform machines, etc. ); (c) optimization criteria (minimize total tardiness, the number of late jobs, makespan, flowtime, etc. ; maximize resource utilization, etc. ); and, (d) scheduling environment (static vs. dynamic, in the former the number of jobs to be considered and their ready times are available while in the later the number of jobs and their charact- istics change over time).