Research on vehicle scheduling for forest fires in the northern Greater Khingan Mountains by Jie Zhang, Junnan He, Shihao Ren, Pei Zhou, Jun Guo, Mingyue Song

Subjects: Get full text

PARAMETER OPTIMIZATION OF JC CONSTITUTIVE MODEL OF AL7050 ALLOY BASED ON OXLEY’S THEORY by WANG Yun, ZHANG ChangMing, ZHANG Yu

Subjects: Get full text

Crossover versus Mutation: A Comparative Analysis of the Evolutionary Strategy of Genetic Algorithms Applied to Combinatorial Optimization Problems by E. Osaba, R. Carballedo, F. Diaz, E. Onieva, I. de la Iglesia, A. Perallos

“…Since their first formulation, genetic algorithms (GAs) have been one of the most widely used techniques to solve combinatorial optimization problems. …”
Get full text

Performances improvement of DC Motor using a Fractional Order Adaptive PID Controller optimized by Genetic Algorithm by Abdelouaheb Boukhalfa, Yassine Bensafia, Khatir Khettab

Subjects: Get full text

Synergizing GIS and genetic algorithms to enhance road management and fund allocation with a comprehensive case study approach by Ahmed Gouda Mohamed, Fahad K. Alqahtani, ElHassan Reda Ismail, Mohamed Nabawy

“…This innovative approach combines a Geographic Information System (GIS)-based road management model with a fund allocation prioritization strategy, enhanced by an optimization engine via a genetic algorithm. The primary aim is to precisely determine Maintenance and Repair (M&R) interventions tailored to the condition states, thereby improving the Pavement Condition Index (PCI) of the road segments. …”
Get full text

A Variable Interval Rescheduling Strategy for Dynamic Flexible Job Shop Scheduling Problem by Improved Genetic Algorithm by Lei Wang, Chaomin Luo, Jingcao Cai

“…On the other hand, an improved genetic algorithm (GA) is proposed for minimizing makespan. …”
Get full text

Integrated Modeling and Optimal Operation Strategy of Building Cooling System Combining the Standardized Thermal Resistance and Genetic Algorithm by Liang Tian, Bohong Lai, Tianzhen Yang, Xingce Wang, Junhong Hao, Kaicheng Liu

Subjects: Get full text

HEKİM ATAMA PROBLEMİNİN GENETİK ALGORİTMA İLE OPTİMİZASYONU - THE OPTIMIZATION OF MEDICUS ASSIGNMENT PROBLEM THROUGH GENETIC ALGORITHM by Muhammer İlkuçar, İbrahim Güngör

Get full text

Drilling Parameter Optimization of Shale Gas Wells Based on Saw-Tooth Genetic Algorithm to Reduce Drilling Costs by Kai Bai, Abing Dong, Ce Zhan, WanXing Zhang, BingRui Tu

“…This paper takes the optimization combination of drilling parameters in drilling engineering as the research object and uses a saw-tooth genetic algorithm to perform the objective function. To solve the problem, the algorithm proposes a variable population size with periodic reinitialization, which follows a saw-tooth scheme with unequal amplitude and change period (saw-tooth GA), which can optimize the drilling parameters under constraints. …”
Get full text

Real-Time Duct Prediction and Propagation Analysis Using Genetic Algorithm-Based RFC and Parabolic Equation Method by Jun Heo, Doyoung Jang, Hosung Choo, Dong-Yeop Na, Yong Bae Park

Subjects: Get full text

Optimization the Initial Weights of Artificial Neural Networks via Genetic Algorithm Applied to Hip Bone Fracture Prediction by Yu-Tzu Chang, Jinn Lin, Jiann-Shing Shieh, Maysam F. Abbod

“…The study results showed the genetic algorithm obtained an AUC of 0.858±0.00493 on modeling data and 0.802 ± 0.03318 on testing data. …”
Get full text

A Multi-Objective Approach to Portfolio Optimization Problem Using the Analytic Hierarchy Process (AHP) and Genetic Algorithm by Mohammad Moshrefi, Javad Behnamian

Subjects: Get full text

A Methodology for Calculating Greenhouse Effect of Aircraft Cruise Using Genetic Algorithm-Optimized Wavelet Neural Network by Yong Tian, Lina Ma, Songtao Yang, Qian Wang

“…With respect to both cruise strategies and wind factors, a genetic algorithm-optimized wavelet neural network topology is designed to model the fuel flow-rate and developed using the real flight records data. …”
Get full text

Genetic Algorithms Based Approach for Designing Spring Brake Orthosis – Part Ii: Control of FES Induced Movement by M. S. Huq, M. O. Tokhi

“…The optimized parameters for the SBO spring are obtained from the earlier part of this work. Genetic algorithm (GA) and multi-objective GA (MOGA) are used to optimize the parameters associated with the control schemes with minimum fatigue as one of the control objectives. …”
Get full text

OPTIMIZE PROCESS OF WEDM MONOCRYSTALLINE SILICON BASE ON RESPONSE SUEFACE METHOD AND IMPROVED NON-DOMINATED GENETIC ALGORITHM by CHEN YuLong, LI ShuJuan, BU WenHao, WANG XinYi

“…The improved non-dominated genetic algorithm（ NSGA-II） is used to optimize processing process,and we can get a set of non-dominated solutions. …”
Get full text

OPTIMIZATION OF TENSILE STRENGTH OF EMPTY OIL PALM FRUIT BUNCH FIBER REINFORCED COMPOSITES USING GENETIC ALGORITHMS by Abdul Rahim, Agus Mujianto, Richie Feriyanto, Hery Tri Waloyo

Subjects: Get full text

Optimal Design of Fault-Tolerant Controller for an Electric Power Steering System with Sensor Failures Using Genetic Algorithm by Xue Liu, Hui Pang, Yuting Shang, Wen Wu

“…This paper focuses on the fault-tolerant control (FTC) problem for an electric power steering (EPS) system subjected to stochastic sensor failures, and a novel fault-tolerant controller is proposed based on the genetic algorithm (GA). A mathematical model of the EPS system with sensor failures is first established, and the state feedback control law is solved by using linear quadratic regulator techniques to stabilize the closed-loop control system. …”
Get full text

A Novel Algorithm Combining Finite State Method and Genetic Algorithm for Solving Crude Oil Scheduling Problem by Qian-Qian Duan, Gen-Ke Yang, Chang-Chun Pan

“…A hybrid optimization algorithm combining finite state method (FSM) and genetic algorithm (GA) is proposed to solve the crude oil scheduling problem. …”
Get full text

A Multiobjective Genetic Algorithm for the Localization of Optimal and Nearly Optimal Solutions Which Are Potentially Useful: nevMOGA by Alberto Pajares, Xavier Blasco, Juan M. Herrero, Gilberto Reynoso-Meza

“…In this work, a new genetic algorithm called nevMOGA is presented, which provides not only the optimal solutions but also the multimodal and nearly optimal solutions nondominated in their neighborhood. …”
Get full text

A novel inverse method for Advanced monitoring of lubrication conditions in sliding bearings through adaptive genetic algorithm by Zhenpeng Wu, Bowen Dong, Liangyi Nie, Adnan Kefal

Subjects: Get full text