An evolutionary algorithm-based numerical material testing system based on a crystal plasticity finite element model by Komatsu Koki, Oya Tetsuo

“…We have developed a numerical material testing system that uses an evolutionary algorithm to predict microscopic parameters from only a few in-plane tests. …”
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A Unique Bifuzzy Manufacturing Service Composition Model Using an Extended Teaching-Learning-Based Optimization Algorithm by Yushu Yang, Jie Lin, Zijuan Hu

“…Next, we address the multi-objective optimization issue through the application of extended teaching-learning-based optimization (ETLBO) algorithm. The improvements of the ETLBO algorithm include utilizing the adaptive parameters and introducing a local search strategy combined with a genetic algorithm (GA). …”
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A VANET-Based A* Route Planning Algorithm for Travelling Time- and Energy-Efficient GPS Navigation App by Ing-Chau Chang, Hung-Ta Tai, Feng-Han Yeh, Dung-Lin Hsieh, Siao-Hui Chang

“…Although some are equipped with an RDS-TMC receiver to receive real-time traffic events, many of these real-time traffic events are irrelevant to the vehicle. …”
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New algorithm to solve nonlinear functional equations applying linearization then double discretization scheme (L.D.D) by Ilyes Sedka, Ammar Khellaf, Mohamed Zine Aissaoui

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Reproductologist’s current views on etiopathogenesis and treatment of uterine leiomyoma by N. V. Avramenko, D. E. Barkovsky, O. V. Kabachenko, D. V. Letsin

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A Linear Regression Prediction-Based Dynamic Multi-Objective Evolutionary Algorithm with Correlations of Pareto Front Points by Junxia Ma, Yongxuan Sang, Yaoli Xu, Bo Wang

“…The Dynamic Multi-Objective Evolutionary Algorithm (DMOEA) is an effective way for solving DMOPs. …”
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Solving the shortest path Problem in an interval-valued Neutrosophic Pythagorean environment using an enhanced A* search algorithm by Prasanta Kumar Raut, Sakya Singh Satapathy, Siva Prasad Behera, Said Broumi, Ajay Kumar Sahoo

“…The A* search algorithm is widely utilized to evaluate the shortest path in a given network. …”
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A Balanced Power Consumption Algorithm Based on Enhanced Parallel Cat Swarm Optimization for Wireless Sensor Network by Lingping Kong, Jeng-Shyang Pan, Pei-Wei Tsai, Snasel Vaclav, Jiun-Huei Ho

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Enhanced hybrid pre-coding and power allocation algorithms for smart irrigation systems using OFDM-based WSNs. by Emad S Hassan

“…Power allocation combined with pre-coding techniques is still an emerging field, with many challenges yet to be resolved. This paper contributes to filling this gap by proposing and evaluating hybrid algorithms that integrate pre-coding with low-complexity power allocation techniques for Orthogonal Frequency Division Multiplexing (OFDM)-based Wireless Sensor Networks (WSN) in smart irrigation systems. …”
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Simultaneous Design of PSS Parameters and SVC Control System by VURPSO Algorithm in Order to Increase Stability of the Power System by Esmaeel Ghaedi, Ghazanfar Shahgholian, Rahmat Allah Hooshmand

“…In this paper, the multi-machine power system is simulated and in addition, VURPSO optimization algorithm is used to optimize the parameters of simultaneous controllers of Static Var Compensator (SVC) and power system stabilizer (PSS) in order that the power system stability increases. …”
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Optimization Tools for the Design of Meta-Covers for Linear Antenna with Beam- and Null-Steering Capabilities by Michela Longhi, Stefano Vellucci, Mirko Barbuto, Alessio Monti, Filiberto Bilotti, Alessandro Toscano

“…In particular, we develop a genetic algorithm-based optimization tool, which achieves precise manipulation of the main beam direction and null placement in the radiation pattern. …”
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A Riemannian framework for incorporating white matter bundle prior in orientation distribution function based tractography algorithms. by Thomas Durantel, Gabriel Girard, Emmanuel Caruyer, Olivier Commowick, Julie Coloigner

“…Recent studies have shown that most classical algorithms achieve to recover the majority of existing true bundles. …”
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Generation and Classification of Novel Segmented Control Charts (SCC) Based on Hu’s Invariant Moments and the K-Means Algorithm by Roberto Baeza-Serrato

“…Once the matrix is segmented, the seven main features of the matrix are extracted using the translation-, scale-, and rotation-invariant Hu moments of the segmented matrices. …”
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Iterative sure independence screening EM-Bayesian LASSO algorithm for multi-locus genome-wide association studies. by Cox Lwaka Tamba, Yuan-Li Ni, Yuan-Ming Zhang

“…Genome-wide association study (GWAS) entails examining a large number of single nucleotide polymorphisms (SNPs) in a limited sample with hundreds of individuals, implying a variable selection problem in the high dimensional dataset. Although many single-locus GWAS approaches under polygenic background and population structure controls have been widely used, some significant loci fail to be detected. …”
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Research on the Route Pricing Optimization Model of the Car-Free Carrier Platform Based on the BP Neural Network Algorithm by Yu-Ang Du

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Optimal Placement of DG to Improve the Reliability of Distribution Systems Considering Time Varying Loads using Genetic Algorithm by Zahra Boor, Seyyed Mehdi Hosseini

“…This paper presents determination of optimum size and location of distributed generators (DGs) for reliability improvement of distribution systems in the presence of time varying loads using Genetic Algorithm (GA). The main innovation of this paper is considering of annual load duration curve for determination of size and location of DGs for reliability improvement. …”
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A Side Lobe Level Reduction Method Using Simulated Annealing Algorithm in a Uniform Arc Array by Song-Il KANG, Kyong-Sim U, Kyong-Chol CHOE, Yong-Kwang RI, Hyok-Il KYE

“…This paper presents a method to effectively reduce the side lobe level while minimizing the main lobe width increase. This is done using the simulated annealing algorithm (SAA) for a uniformly spaced arc array of omnidirectional underwater acoustic transducers, even at low signal-to-noise ratio (SNR). …”
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Heterogeneous wireless sensor network routing protocol based on simulated annealing algorithm and modified grey wolf optimizer by Xiaoqiang ZHAO, Shaoya REN, Yongzhi ZHAI, Heng QUAN, Ting YANG

“…It’s one of the main goals of the heterogeneous wireless sensor network (HWSN) to extend the network lifecycle by reasonably utilizing the heterogeneity of node energy.Therefore, according to the heterogeneity of node energy, a routing protocol (SA-MGWO) for HWSN based on simulated annealing (SA) algorithm and modified grey wolf optimizer (GWO) was proposed.Firstly, the appropriate initial clusters were selected by dening different tness functions for heterogeneous energy nodes.Secondly, The tness values of nodes were calculated and treated as initial weights in the GWO.At the same time, the weights were updated dynamically according to the distance between the wolves and their prey and coefficient vectors to improve the GWO’s optimization ability.Finally, simulated annealing algorithm was used to ensure the selection of optimal cluster set in heterogeneous networks.Compared with stable election protocol (SEP), distribute energy efficient clustering (DEEC), modified stable election protocol (M-SEP), and fitness value based improved grey wolf optimizer (FIGWO) protocols, the experimental results indicate that the network lifecycle of the SA-MGWO protocol improves by 53.1%, 31.9%, 46.5% and 27.0% respectively.…”
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Linearized MILP Model With Improved Soft Actor-Critic Algorithm for Dynamic and Efficient Active Distribution Network Planning by Jinlin Liao, Guilian Wu, Jia Lin

“…The traditional AC-based nonlinear planning model has many shortcomings in computational analysis. To this end, an active distributed network planning model based on linear constraints is proposed. …”
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Proposing a Novel Method for Optimal Location Finding Based on Machine Learning Algorithms and Gray Wolf Optimization by Fatemeh Heydari Pirbasti, Mahmoud Modiri, Kiamars Fathi-Hafshejani, Alireza Rashidi-Komijan

“…In order to apply the gray wolf optimization algorithm, a multivariate target function is defined. …”
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