Bi-objective
An Approach for Bi objective Optimization of Biochemical Systems
... the bi-objective optimization of biochemical ...nonlinear bi-objective problem is first attained. We then obtain a linear bi-objective problem by the logarithmic ...linear ...
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Solving a new bi-objective model for a cell formation problem considering labor allocation by multi-objective particle swarm optimization
... According to above mentioned description, only a few numbers of researchers have been developed multi-objective models to design a CMS considering human resource requirements. Slomp, et al. [26] developed a goal ...
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Mathematical Model for Bi-objective Maximal Hub Covering Problem with Periodic Variations of Parameters
... the bi- objective multi-period maximal hub covering problem (BOMMHCP) is ...a bi-objective model and presenting non-dominated solutions, managers can choose one of them according to their ...
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Artificial bee colony algorithm for solving bi objective hydrothermal scheduling with practical constraints
... problem water discharge is the control variable and it is used to optimize through repetitive iteration, hence the hourly optimal water discharge that has obtained by ABC considering PDZ is presented in Figure-8. The ...
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Network Interdiction through Length-Bounded Critical Disruption Paths: a Bi-Objective Approach
... The presented computational experiments provide a valid Proof-of-concept for the Mixed Integer Programming formulation of the Bi-Objective k-Length- Bounded Critical Disruption Path problem introduced in ...
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A Bi-objective Stochastic Optimization Model for Humanitarian Relief Chain by Using Evolutionary Algorithms
... a bi-objective mixed integer linear programming to specify the location of CWs and LDCs, simultaneously and the corresponding inventory quantities for relief items, and the distribution quantities from ...
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Bi objective branch and cut algorithms based on LP relaxation and bound sets
... Based on the above results a general bi–objective branch–and–cut framework can now be described as given in Algorithm 1. The algorithm is initialized by setting the upper bound set equal to the ...
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Hybrid Fruit Fly Algorithm Based on Bi objective Job shop Scheduling
... Abstract. Job-shop scheduling is one of the most important problems in workshop scheduling and is significant for improving production efficiency. This paper proposes a hybrid fruit fly algorithm based on ...
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Bi-Objective Optimization of MQL Based Turning Process Using NSGA II
... a Bi-objective optimization problem, as the determination of the optimal machining conditions involves a conflict between maximizing MRR and minimizing the surface ...multi- objective optimization ...
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A Pareto metaheuristic for a bi objective winner determination problem in a combinatorial reverse auction
... second objective function for maximizing the transport quality within a winner determination ...resulting bi-objective model, denoted as 2WDP-SC, seems helpful, if the desired trade-off between ...
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A Tabu Search Method for a New Bi-Objective Open Shop Scheduling Problem by a Fuzzy Multi-Objective Decision Making Approach (RESEARCH NOTE)
... The first fuzzy approach for solving a MOLP developed by Zimmermann [20] is called max–min approach; however the solution yielded by a max– min operator is well-known that may neithr be unique nor efficient [21-22]. ...
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BI-OBJECTIVE CRITERIA IN TWO MACHINES SCHEDULING PROBLEM WITH FUZZY DUE DATE
... presented and satisfaction level has been shown graphically. The paper investigates a different approach to nx2 flow shop scheduling with bi-objective criteria. On one side to minimize the tardiness of jobs ...
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Bi objective Optimization Model for Integrated Preventive Maintenance and Flexible Job shop Scheduling Problem
... objectives of the systems. In the most of the real manufacturing systems, production scheduling and maintenance activities are employed separately but there is strict interdependency between them [1]. In recent decades, ...
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Bi-objective supply chain problem using MOPSO and NSGA-II Pages 681-694 Download PDF
... Cardona-Valdés et al. (2010) introduced a bi-objective supply chain problem where all parameters are under uncertainty. They considered the design of a two-echelon production distribution network by ...
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Bi-objective optimization for multi-modal transportation routing planning problem based on Pareto optimality
... Contrary to the traditional solving approaches, such as weighted sum method that combines the different objectives linearly (Grosan & Abraham, 2010; Casetelletti, Pianosi & Restelli, 2013) or the lexicographic ...
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A possibilistic bi-objective model for a competitive supply chain network design under variable coverage
... an objective function and 4) accounting for epistemic uncertainty in critical input data and providing a suite for trade-off analysis of two important objectives via formulating a bi- objective ...
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A Bi-Objective Programming Model for Reliable Supply Chain Network Design Under Facility Disruption
... Several researchers have applied disruption strategies and scenarios to manage disruptions coming about in the supply chain. Hatefi and Jolai [26-27] and Torabi et al. [28], for instance, devised disruption scenarios so ...
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Optimization of an energy based bi-objective multi skilled resource investment project scheduling problem
... main objective is to minimize the total energy usage and implementation costs of multi-skilled resources of ...new bi-objective model for the integrated multi-skilled project scheduling and resource ...
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A Novel Bi-Objective Multi-Product Post-Sales Reverse Logistics Network Design Model
... Solving the presented model directly via conventional single-objective optimization methods such as branch-and- bound, cutting planes, or benders decomposition is not possible due to the bi-objective ...
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A nondominated sorting genetic algorithm for bi objective network coding based multicast routing problems
... the bi-objective network coding based multicast routing problem, where the two objectives, the total cost and the maximum transmission delay, are minimized ...
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