This paper presents a novel bi-objective manpower scheduling problem that minimizes the penalty resulted from employees’ assignment at lower skill levels than their real skill and maximizes employees’ utility for working at a special skill level in some shifts or on some days. Employees are classified in two specialist groups and three skill levels in each specialization. In addition, the prese...

A vital aspect for organizations’ competitiveness in dynamic market conditions is to draw faster conclusions out of changing circumstances. The Information system itself must become more adaptable to better support corporate strategies. This is particularly challenging in the domain of Business Intelligence (BI) since the underlying architecture of decision support systems is not built upon agi...

In this paper, a new version of multi-objective differential evolution with dynamically adaptable mutation factor is used for Pareto optimization of a 5-degree of freedom vehicle vibration model excited by non-stationary random road profile. In this way, non-dominated sorting algorithm and crowding distance criterion have been combined to differential evolution with fuzzified mutation in order ...

With the huge global and wide range of attention placed upon quality, promoting and optimize the reliability of the products during the design process has turned out to be a high priority. In this study, the researcher have adopted one of the existing models in the reliability science and propose a bi-objective model for redundancy allocation in the series-parallel systems in accordance with th...

According to the characteristics of emergencies, a dynamic multi-objective emergency decisionmaking model is proposed. By introducing triangular fuzzy Numbers calculate correlation distance between selected solution, ideal solution and negative considering degree solutions, indexes highlighted. In addition, paper strengthens processing uncertain information in real world through comprehensive i...

Reliable location routing problem considers a location problem and a vehicle routing problem in order to select the optimal location of facilities and at the same time the optimal routes for vehicles considering the unexpected failure for facilities in which, all facilities may fail with a probability. In this paper, a bi-objective mathematical model has been developed to minimize the total cos...

This paper presents a novel approach based on differential evolution for short-term combined economic emission hydrothermal scheduling, which is formulated as a bi-objective problem: 1) minimizing fuel cost and 2) minimizing emission cost. A penalty factor approach is employed to convert the bi-objective problem into a single objective one. In the proposed approach, heuristic rules are proposed...

This paper considers a bi-objective model for a scheduling problem of unrelated parallel batch processing machines to minimize the makespan and maximum tardiness, simultaneously. Each job has a specific size and the data corresponding to its ready time, due date and processing time-dependent machine are uncertain and determined by trapezoidal fuzzy numbers. Each machine has a specific capacity,...

Hybrid energy storage system (HESS) composed of lithium-ion battery and supercapacitors has been recognized as one of the most promising solutions to face against the high cost, low power density and short cycle life of the battery-only energy storage system, which is the major headache hindering the further penetration of electric vehicles. In this work, the HESS sizing and energy management p...