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Fuzzy-Graphical Evaluation and Review Technique for Scheduling Construction Projects
Construction scheduling is a complex process that features multitudinous sequences of various tasks or activities necessary to accomplish the project...
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Constraint programming-based transformation approach for a mixed fuzzy-stochastic resource investment project scheduling problem
In fuzzy mathematical programming literature, most of the transformation approaches were mainly focused on integer linear programs (ILPs) with fuzzy...
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Stochastic Project Scheduling Optimization for Multi-stage Prefabricated Building Construction with Reliability Application
This study investigates a project scheduling problem of prefabricated building (PB) construction in an uncertain environment. Different from the...
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An optimization algorithm for the multi-objective flexible fuzzy job shop environment with partial flexibility based on adaptive teaching–learning considering fuzzy processing times
Production scheduling is a critical factor to enhancing productivity in manufacturing engineering and combinatorial optimization research. The...
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Dynamic fuzzy learning based hybrid GWO-CSA for optimal planning of PV, BESS and DSTATCOM with network reconfiguration
The proposed approach is on the optimal planning issue of photovoltaic distributed generation (PV-DG) and DSTATCOM device with integrated battery...
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A resource flow-based branch-and-bound algorithm to solve fuzzy stochastic resource-constrained project scheduling problem
In this paper, a resource flow-based branch-and-bound procedure is designed to solve the well-known resource-constrained project scheduling problem...
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Fuzzy Reliability and Availability of System under a Calendar-based Inspection Involving Multiple Failures and Its Application to Wind Turbine System
Uncertainty is an important factor that needs to be considered while analyzing the performance of any engineering system. In order to quantify...
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Robotic stochastic assembly line balancing
To keep up with the Industry 4.0 technological revolution and get the upper hand over competitors, manufacturing companies replace human workers with...
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A hybrid traffic controller system based on flower pollination algorithm and type-2 fuzzy logic optimized with crow search algorithm for signalized intersections
In this study, a hybrid traffic signal control (HTSC) system based on phase and time optimization was developed. The Flower Pollination Algorithm...
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Fuzzy Risk Adjusted Discount Rate and Certainty Equivalent Methods
Financial decision-making under uncertainty is a critical challenge for both investors and businesses. Traditional financial models typically assume...
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Multiprocessor Tasks Scheduling. Fuzzy Logic Approach
The article concerns a problem of optimizing the execution of so-called multiprocessor tasks under the conditions of problem data uncertainty. From...
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The Multi-objective Solid Transportation Problem with Preservation Technology Using Pythagorean Fuzzy Sets
This study’s motive is to vindicate the result of the preservation of a transportation system for transporting perishable items. We introduce a...
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Evolution of δ phase precipitates in Inconel 625 superalloy additively manufactured by laser powder bed fusion and its modeling with fuzzy logic
Experimental and modeling studies of the evolution of plate-like δ phase precipitates in Inconel 625 superalloy additively manufactured by the laser...
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A Fuzzy Decision Making Inventory Model for Deteriorating Items Under Discounted Partial Advance-Partial Delayed Payment Strategy
This article presents a buyer’s EOQ model under discounted partial advance payment and partial delayed payment strategies for a single...
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Stochastic operating room scheduling: a new model for solving problem and an approach for determining the factors that affect operation time variations
The most common situation encountered in the operating room scheduling is the uncertainty of operation times. This situation may cause the operations...
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An Optimum Multi-objective Dynamic Scheduling Strategy for a Hybrid Microgrid System Using Fuzzy Rank-Based Modified Differential Evolution Algorithm
In this paper, a stochastic multi-objective grid-connected microgrid problem is proposed to schedule energy and reserve in a power network with high...
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MRDPGA: a multiple restart dynamic population genetic algorithm for scheduling road traffic
A genetic algorithm is a biologically inspired stochastic approach to finding solutions to optimization problems. However, unlike its deterministic...
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Solving Fuzzy Time–Cost Trade-Off in Construction Projects Using Linear Programming
The time–cost trade-off has been recognized as a very significant aspect of construction management. Generally, time–cost trade-off can be modeled as...
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Multiprocessor Task Scheduling with Probabilistic Task Duration
Article concentrate on so-called multiprocessor task scheduling problem with uncertain (random) time of tasks duration. Multiprocessor scheduling can...
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A Multiagent Fuzzy Reinforcement Learning Approach for Economic Power Dispatch Considering Multiple Plug-In Electric Vehicle Loads
Economic/environmental power dispatch goals were to determine the optimal power generation from thermal plants to satisfy the given demand while...
