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1661
Bilevel Optimization for the Hazmat Transportation Problem with Lane Reservation
Published 2020-01-01“…Two hybrid metaheuristic algorithms based on the particle swarm optimization algorithm and the genetic algorithm, respectively, are proposed to solve the bilevel model. …”
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1662
QoS Aware Task Scheduling Using Hybrid Genetic Algorithm in Cloud Computing
Published 2025-01-01“…In this paper, the Smart Message Passing Interface Approach (SMPIA) is combined with Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithms for CC application. …”
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1663
Optimization of Vehicle Routing with Pickup Based on Multibatch Production
Published 2018-01-01“…In the second stage, the Particle Swarm Optimization (PSO) algorithm was used to allocate vehicles to each production batch. …”
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1664
An automatic classification of breast cancer using fuzzy scoring based ResNet CNN model
Published 2025-07-01Get full text
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1665
Combining the Multi-Genetic Algorithm and Support Vector Machine for Fault Diagnosis of Bearings
Published 2018-01-01Get full text
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1666
Fuzzy optimum PSO: PSO with optimized fuzzy controllers
Published 2024-02-01“…Since the search process of the particle swarm optimization (PSO) technique is non-linear and very complicated, it is hard if not impossible, to mathematically model the search process and dynamically adjust the PSO parameters. …”
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1667
Optimisation of decision making for construction projects of assembly buildings based on improved PSO algorithm
Published 2025-03-01“…To enhance the decisionmaking process, this research utilizes particle swarm algorithms to optimize construction project decisions in assembled buildings. …”
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1668
Optimal Operation of Microgrid Considering Photovoltaic,Storage and Turbine
Published 2020-04-01“…Constraints include power balance constraints, etc. The improved particle swarm optimization algorithm is used to solve the problem. …”
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1669
PSO Based Optimization of Testing and Maintenance Cost in NPPs
Published 2014-01-01“…Particle swarm optimizations (PSOs) have proved their capability to solve these kinds of problems. …”
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1670
KBNN Based on Coarse Mesh to Optimize the EBG Structures
Published 2017-01-01“…We use precise mesh model of EM analysis as teaching signal and coarse mesh model as a priori knowledge to train the neural network (NN) by particle swarm optimization (PSO). The NN constructed by this method is simpler than traditional NN in structure which can replace precise model in optimization and reduce the computing time. …”
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1671
A novel economic load dispatch method of microgrid based on hybrid slime mould and genetic algorithm
Published 2025-07-01“…For performance evaluation, GSMA is compared with slime mould algorithm (SMA), grey wolf optimizer (GWO), sparrow search algorithm (SSA), Harris Hawks optimization (HHO), whale optimization algorithm (WOA) and particle swarm optimization (PSO) using standard optimization functions. …”
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1672
Solution of the stabilization of satellite problem with bioinspired optimization methods
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1673
A review of the application of the simulated annealing algorithm in structural health monitoring (1995-2021)
Published 2023-04-01“…However, traditional optimization methods such as particle swarm optimization, simulated annealing (SA), and genetic algorithm are constantly employed to detect damages in the structures. …”
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1674
Energy-saving computation offloading scheme based on Sarsa algorithm in industrial internet of things
Published 2022-09-01“…In order to reduce the total energy consumption of industrial internet of things systems with deadline requirements, a computing offloading scheme based on Sarsa algorithm was proposed.Based on the characteristics of Sarsa algorithm, the energy consumption optimization problem was coupled.The Sarsa algorithm iterated the external state value function, selected the appropriate edge computing server to offload the computing task, and then the particle swarm optimization algorithm solved the resource allocation problem.Finally, the environmental information was updated for the next round of algorithm iteration until the algorithm met the end conditions.The simulation results show that this scheme has faster convergence speed and effectively reduces the system energy consumption.…”
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1675
Construction of a Knowledge Map Based on Text CNN Algorithm for Maritime English Subjects
Published 2022-01-01“…In order to maintain the diversity of particle swarm optimization, the Text CNN algorithm is combined with the construction of Maritime English subject knowledge map, and the network parameters and structure are optimized. …”
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1676
Energy-Aware Service Composition Algorithms for Service-Oriented Heterogeneous Wireless Sensor Networks
Published 2014-03-01“…With both the energy-aware metrics: energy-aware load-balancing factor and overall energy consumption, we formulate the process of energy-aware sensor service composition into a combinatorial optimization problem; furthermore, an improved discrete particle swarm optimization (IDPSO) algorithm with inertia weights adjustment and extreme perturbation scheme is proposed to solve the combinatorial optimization problem. …”
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1677
A parallel multi-objective genetic algorithm for scheduling scientific workflows in cloud computing
Published 2020-08-01“…The proposed algorithm is evaluated with benchmark datasets and comparative results with the standard genetic algorithm, particle swarm optimization, and specialized scheduler are presented. …”
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1678
Development of an Improved KOA Algorithm for Solving Task Allocation in Hilly Orchards With Weeding Robots
Published 2025-01-01“…The results indicated that, compared to Particle Swarm Optimization (PSO), Sparrow Search Algorithm (SSA), Whale Optimization Algorithm (WOA), and Kepler Optimization Algorithm (KOA), GKOA reduced the optimal solution cost by 10.3%, 8.2%, 7.0%, and 4.5%, respectively. …”
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1679
Algorithm for Solving Distributed Workshop Scheduling Model Based on Order Constraints and Assembly Constraints
Published 2025-01-01“…For this model, an improved greedy algorithm was combined to solve it, and particle swarm optimization algorithm was introduced to enhance the local and global search capabilities of the distributed scheduling system, effectively addressing the computational complexity in large-scale production environments. …”
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1680
Identification of Alcoholism Based on Wavelet Renyi Entropy and Three-Segment Encoded Jaya Algorithm
Published 2018-01-01“…The proposed TSE-Jaya provides a better performance, compared to the conventional approaches including plain Jaya, multiobjective genetic algorithm, particle swarm optimization, bee colony optimization, modified ant colony system, and real-coded biogeography-based optimization.…”
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