Different constraint handling techniques have been used with multiobjective evolutionary algorithms (MOEA) to solve constrained multiobjective optimization problems. It is impossible for a single constraint handling technique to outperform all other constraint handling techniques always on every problem irrespective of the exhaustiveness of parameter tuning. To overcome this selection problem, ...

Many processes within production scheduling and project management involve the scheduling of a number of activities, each activity having a certain duration and requiring a certain amount of limited resources. The duration and resource requirements of activities are commonly the result of estimations, and thus generally subject to uncertainty. If this uncertainty is not taken into account the r...

Re-entrant scheduling is an important search problem with many constraints in the flow shop. In the literature, a number of approaches have been investigated from exact methods to meta-heuristics. This paper presents a genetic algorithm that encodes the problem as multi-level chromosomes to reflect the dependent relationship of the re-entrant possibility and resource consumption. The novel enco...

Multi-skilled resources have brought more flexibility to resource scheduling and been a key factor in the research of resource-constrained project problems. However, existing studies are mainly limited deterministic problems neglect some uncertainties such as breakdowns, while availability may change over time due unexpected risks COVID-19 pandemic. Therefore, this paper focuses on multi-skille...

internet traffic has grown exponentially over last few years due to provision of multiple class services through internet backbone. with the explosive use of internet, contemporary internet routers are susceptible to overloads and their services deteriorate drastically and often cause denial of services. in this paper, an analysis is made how forecasting technique, routing algorithm and genetic...

this paper introduces an indirect adaptive fuzzy sliding mode controller as a power system stabilizer for damping local and inter-area modes of oscillations of multi-machine power systems. this controller is designed based on the combination of sliding mode controller and the fuzzy logic systems. the fuzzy systems are used to approximate the unknown functions of power system model. generator sp...

The project resource leveling problem was proposed to smooth resource usage and reduce resource fluctuation, while the resource-constrained project scheduling problem focuses on minimizing the project duration with limited resources. Solving the two interrelated problems separately is unlikely to result in a globally optimum schedule. The few integrated optimization methods that have been devel...

To improve the construction efficiency of the Longtan Hydropower Project, this paper studies the multi-mode resourceconstrained project scheduling problem in its Drilling Grouting Construction Project. A multiple objective decision making model with bi-random coefficients is first proposed for this practical problem to cope with hybrid uncertain environment where twofold randomness exists. Subs...

Multi-mode resource-constrained project scheduling problems (MRCPSPs) are classified as NP-hard problems, in which a task has different execution modes characterized by different resource requirements. Estimation of distribution algorithm (EDA) has shown an effective performance for solving such real-world optimization problems but it fails to find the desired optima. This paper integrates a no...