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321
Hybrid Interval Type-2 Fuzzy PID+I Controller for a Multi-DOF Oilwell Drill-String System
Published 2022“…<p>The control of multibody drill-string systems is not easy and designing such systems is considered challenging because of the difficulty in the dynamic analysis of its nonlinear characteristics and parametric uncertainties. An optimal hybrid interval Type-2 fuzzy PID+I logic controller (OH-IT2FPID+I) using a practical swarm optimization algorithm for a multi-degree-of-freedom oil well drill-string system is proposed in this paper. …”
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322
Scalable Parallel Algorithms for FPT Problems
Published 2006“…As a case study, optimal solutions to very large instances of the NP-hard vertex cover problem are computed. …”
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article -
323
Impact of Charging Electric Vehicles under Different State of Charge Levels and Extreme Conditions
Published 2021“…This paper defines extreme conditions as the state of a load or network that breaks the limits of the constraints in an optimization model. Once these constraints are violated, the optimization algorithm might not work correctly and might not converge to a feasible solution, especially when the complexity of the system increases and includes nonlinearities. …”
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324
Dynamic performance evaluation and machine learning-assisted optimization of a solar-driven system integrated with PCM-based thermal energy storage: A case study approach
Published 2025“…A comprehensive techno-economic analysis is conducted, supported by a machine learning-assisted optimization framework that combines artificial neural networks with genetic algorithms. …”
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325
An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling
Published 2016“…The results showed the proposed methodology outperformed existing algorithms in optimizing project durations and resources allocation. …”
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326
Incremental & classical genetic algorithm. (c2001)
Published 2001Get full text
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masterThesis -
327
Scalable parallel algorithms for difficult combinatorial problems
Published 2004“…A novel combination of emergent algorithmic methods, powerful computational platforms and supporting infrastructure is described. …”
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conferenceObject -
328
A new multimodulus blind equalization algorithm
Published 2004“…The phase-recovery and intersymbol interference optimization properties, exhibited by the proposed algorithm, are also discussed.…”
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329
A simulated annealing algorithm for unit commitment
Published 1998“…This paper presents a simulated annealing algorithm (SAA) to solve the unit commitment problem (UCP). …”
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330
Genetic algorithms applications in load frequency control
Published 1995“…This paper deals with the application of genetic algorithms for optimizing the parameters of conventional automatic generation control (AGC) systems. …”
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331
A SIMULATED ANNEALING ALGORITHM FOR THE CLUSTERING PROBLEM
Published 2020“…In this paper we discuss the solution of the clustering problem usually solved by the K-means algorithm. The problem is known to have local minimum solutions which are usually what the K-means algorithm obtains. …”
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332
Adaptive bias simulated evolution algorithm for placement
Published 2001“…Simulated Evolution (SE) is a general meta-heuristic for combinatorial optimization problems. A new solution is evolved from current solution by relocating some of the solution elements. …”
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333
A New Parallel Genetic Algorithm Model
Published 2020“…This paper presents an implementation of three Genetic Algorithm models for solving a reliability optimization problem for a redundancy system with several failure modes, a modification on a parallel a genetic algorithm model and a new parallel genetic algorithm model. …”
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334
Metaheuristic Algorithm for State-Based Software Testing
Published 2018“…We formulate the testing problem as an optimization problem and use a simulated annealing (SA) metaheuristic algorithm to generate test cases as sequences of events while keeping the test suite size reasonable. …”
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article -
335
Artificial neural network algorithms. (c1999)
Published 1999Get full text
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masterThesis -
336
Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm
Published 2022“…The slime mould algorithm (SMA) gives good results in finding the best solutions to optimization problems. …”
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337
Bridge Structural Health Monitoring Using Mobile Sensor Networks
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doctoralThesis -
338
Scatter Search algorithm for Protein Structure Prediction
Published 2016“…The results show that our algorithm is able to produce 3D structures with good sub-optimal energy values. …”
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339
A Literature Review on System Dynamics Modeling for Sustainable Management of Water Supply and Demand
Published 2023“…The models included agent-based modeling (ABM), Bayesian networking (BN), analytical hierarchy approach (AHP), and simulation optimization multi-objective optimization (MOO). The solution approaches included the genetic algorithm (GA), particle swarm optimization (PSO), and the non-dominated sorting genetic algorithm (NSGA-II). …”
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340
