Optimasi Fuzzy C-Means dan K-Means Menggunakan Algoritma Genetika untuk Pengklasteran Dataset Diabetic Retinopathy by Muhammad Ezar Al Rivan, Steven Steven, William Tanzil

“…Based on the comparison of Genetic Algorithm  Fuzzy C-Means and Genetic Algorithm K-Means iterations, it can be concluded that Genetic Algorithm Fuzzy C-Means has a better number of iteration than Genetic Algorithm K-Means. …”
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Fuzzy Mixed Assembly Line Sequencing and Scheduling Optimization Model Using Multiobjective Dynamic Fuzzy GA by Farzad Tahriri, Siti Zawiah Md Dawal, Zahari Taha

“…Trapezoidal fuzzy numbers are implemented for variables such as operation and travelling time in order to generate results with higher accuracy and representative of real-case data. An improved genetic algorithm called fuzzy adaptive genetic algorithm (FAGA) is proposed in order to solve this optimization model. …”
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Metaheuristic Algorithm for Solving Biobjective Possibility Planning Model of Location-Allocation in Disaster Relief Logistics by Farnaz Barzinpour, Mohsen Saffarian, Ahmad Makoui, Ebrahim Teimoury

“…The results of genetic algorithm are compared with the results provided by simulated annealing algorithm and LINGO software. …”
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Multiobjective Multidepot Capacitated Arc Routing Optimization Based on Hybrid Algorithm by Liang Wu

“…The multidepot capacitated arc routing problem (CARP) is investigated with the hybrid optimization algorithm of the Dijkstra algorithm and genetic algorithm. The complex multidepot CARP is transformed into multiple single depot CARP by systematic clustering analysis. …”
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Optimal Scheduling for Retrieval Jobs in Double-Deep AS/RS by Evolutionary Algorithms by Kuo-Yang Wu, Sendren Sheng-Dong Xu, Tzong-Chen Wu

“…Three types of evolutionary algorithms, the Genetic Algorithm (GA), the Immune Genetic Algorithm (IGA), and the Particle Swarm Optimization (PSO) algorithm, are implemented to obtain the optimal assignments. …”
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Empirical Study of Multi-Objective Risk Portfolio Optimization Based on NSGA-II by Qian Gao, Aleš Kresta

“…This study aims to uncover the potential advantages of dynamic portfolio optimization using a multi-objective genetic algorithm to address the challenges of ever-changing market conditions. …”
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Optimization on Production-Inventory Problem with Multistage and Varying Demand by Duan Gang, Chen Li, Li Yin-Zhen, Song Jie-Yan, Akhtar Tanweer

“…A nonlinear hybrid integer constrained optimization is modeled to minimize the total cost including setup cost and holding cost in the planning horizon. A genetic algorithm is developed for the problem. A series of computational experiments with different sizes is used to demonstrate the efficiency and universality of the genetic algorithm in terms of the running time and solution quality. …”
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Disordered and Multiple Destinations Path Planning Methods for Mobile Robot in Dynamic Environment by Yong-feng Dong, Hong-mei Xia, Yan-cong Zhou

“…A sinusoidal adaptive genetic algorithm is adopted. It can calculate the crossover probability and mutation probability adaptively changing with environment at any time. …”
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Optimization of Port Emergency Materials Dispatch with Time Windows Constraints under Uncertainties by Bowei Xu, Yuqing Wang, Junjun Li

“…Through numerical experiments, the algorithm proposed in this study was compared with the genetic algorithm and adaptive genetic algorithm. The experimental results show that the model and algorithm proposed in this study can effectively reduce the total cost of containers in a terminal while ensuring the priority dispatch of emergency materials, reducing the overlapping part of the time window, optimizing the arrival mode of external trucks, and reducing the waiting time of external trucks, effectively alleviating the terminal congestion problem.…”
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A Low-Complexity GA-WSF Algorithm for Narrow-Band DOA Estimation by Haihua Chen, Jialiang Hu, Hui Tian, Shibao Li, Jianhang Liu, Masakiyo Suzuki

“…This paper proposes a low-complexity estimation algorithm for weighted subspace fitting (WSF) based on the Genetic Algorithm (GA) in the problem of narrow-band direction-of-arrival (DOA) finding. …”
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A Dynamic Task Scheduling Algorithm for Airborne Device Clouds by Bao Deng, Zhengjun Zhai

“…The task scheduling model based on genetic algorithm and random scheduling algorithm is compared through comparison experiments, which show that the assignment time of the task scheduling model based on genetic algorithm is shortened by 11.82% to 48.51% and the energy consumption is reduced by 22.28% to 47.52% under different load conditions.…”
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Memetic-based schedule synthesis for communication on time-triggered embedded systems by Heyuan Shi, Kun Tang, Chengbao Liu, Xiaoyu Song, Chao Hu, Jiaguang Sun

“…Memetic-based schedule synthesis algorithm is based on memetic algorithm, which incorporates local search in the iterations of general genetic algorithm. We compare memetic-based schedule synthesis algorithm with genetic algorithm in different scale of time-triggered network-on-chip and number of messages. …”
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Optimization Model and Algorithm of Empty Pallets Dispatching under the Time-Space Network of Express Shipment by Kang Zhou, Shiwei He, Rui Song, Xiaole Guo, Kaiming Li

“…Therefore, the efficiency of the improved cloud clonal selection operation is higher than genetic algorithm.…”
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Neurogenetic Algorithm for Solving Combinatorial Engineering Problems by M. Jalali Varnamkhasti, Nasruddin Hassan

“…Diversity of the population in a genetic algorithm plays an important role in impeding premature convergence. …”
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Combining Interval Branch and Bound and Stochastic Search by Dhiranuch Bunnag

“…Moreover, the idea of both algorithms suggests a structure for an integrated interval branch and bound and genetic algorithm for constrained problems in which the algorithm is described and tested. …”
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Multiobjective Location Routing Problem considering Uncertain Data after Disasters by Keliang Chang, Hong Zhou, Guijing Chen, Huiqin Chen

“…The goals are the total costs of the transportation, the satisfaction rates of disaster nodes, and the path transport capacities which are denoted by vehicle velocities. Finally, the genetic algorithm is applied to solve a number of numerical examples, and the results show that the genetic algorithm is very stable and effective for this problem.…”
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Modeling and Simulation of Real Estate Valuation Based on Genetic Neural Network Model by Shuli Shen

“…At the same time, genetic algorithm is used to screen the specific values. …”
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A Dual-Thread Method for Time-Optimal Trajectory Planning in Joint Space Based on Improved NGA by Kaipeng Zhang, Ning Liu, Gao Wang

“…To solve the problem that the time-consuming optimization process of Genetic Algorithm (GA) can erode the expected time-saving brought by the algorithm, time-optimal trajectory planning based on cubic spline was used, after the modification to classical fitness sharing function of NGA, a dual-threaded method utilizing elite strategy characteristic was designed which was based on Niche Genetic Algorithm (NGA) with the fitness sharing technique. …”
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Prediction of Chaotic Time Series Based on BEN-AGA Model by LiYun Su, Fan Yang

“…Aiming at the prediction problem of chaotic time series, this paper proposes a brain emotional network combined with an adaptive genetic algorithm (BEN-AGA) model to predict chaotic time series. …”
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Production scheduling with multi-robot task allocation in a real industry 4.0 setting by Zohreh Shakeri, Khaled Benfriha, Mohsen Varmazyar, Esma Talhi, Anthony Quenehen

“…Based on the data, the Proposed Genetic Algorithm (PGA), with an average Relative Deviation (ARD) of 0.25%, performed approximately 34% better compared to the Basic Genetic Algorithm (BGA), with an average ARD of 0.38%. …”
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