Application of Bat Algorithm for Transport Network Design Problem by Sweta Srivastava, Sudip Kumar Sahana

“…Soft computing techniques like Genetic Algorithms, Ant Colony Optimization, and many other biologically inspired techniques prove to give good results for bilevel problems. …”
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A Mathematical Modeling and an Optimization Algorithm for Marine Ship Route Planning by Lili Huang

“…The simulation results show that, when compared to artificial intelligence and genetic algorithms, the optimization algorithm suggested in this research produces the best ship route planning outcomes and has the lowest economic cost, which may effectively increase the efficiency of ship route work.…”
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Application of Fuzzy Immune Algorithm and Soft Computing in the Design of 2-DOF PID Controller by Ning Ding, Priti Prabhakar, Anita Khosla, Vishal Jagota, Edwin Ramirez-Asis, Bhupesh Kumar Singh

“…According to the experiment and simulation results, classic genetic algorithm evolution tends to halt after 37 generations, with a fitness value of 7.135, whereas fuzzy genetic algorithm evolution tends to stop after 20 generations, with a fitness value of 7.486. …”
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Modified α-Parameterized Differential Transform Method for Solving Nonlinear Generalized Gardner Equation by Abdulghafor M. Al-Rozbayani, Ahmed Farooq Qasim

“…The proposed method is applied to solve the generalized Gardner equation by utilizing genetic algorithms to obtain optimal parameter values. Our proposed approach extends the general differential transformation method, allowing for the use of various values for the coefficient α. …”
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Transit Route Network Design for Low-Mobility Individuals Using a Hybrid Metaheuristic Approach by Tao Zhang, Gang Ren, Yang Yang

“…Then, a hybrid metaheuristic approach based on ant colony and genetic algorithms is formulated to solve the proposed model in accordance with current conditions (i.e., existing routes that may need to undergo configuration adjustments to different degrees). …”
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Generation of Variations on Theme Music Based on Impressions of Story Scenes Considering Human's Feeling of Music and Stories by Kenkichi Ishizuka, Takehisa Onisawa

“…The present system varies melodies, tempos, tones, tonalities, and accompaniments of given theme music based on impressions of story scenes. Genetic algorithms (GAs) using modular neural network (MNN) models as fitness functions are applied to music generation in order to reflect user's feeling of music and stories. …”
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A Novel Multiband Miniature Planar Inverted F Antenna Design for Bluetooth and WLAN Applications by J. M. Jeevani W. Jayasinghe, Disala Uduwawala

“…A novel compact planar inverted F antenna (PIFA) optimized using genetic algorithms for 2.4 GHz (Bluetooth) and 5 GHz (UNII-1, UNII-2, UNII-2 extended, and UNII-3) bands is presented. …”
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Combined Kernel-Based BDT-SMO Classification of Hyperspectral Fused Images by Fenghua Huang, Luming Yan

“…To solve the poor generalization and flexibility problems that single kernel SVM classifiers have while classifying combined spectral and spatial features, this paper proposed a solution to improve the classification accuracy and efficiency of hyperspectral fused images: (1) different radial basis kernel functions (RBFs) are employed for spectral and textural features, and a new combined radial basis kernel function (CRBF) is proposed by combining them in a weighted manner; (2) the binary decision tree-based multiclass SMO (BDT-SMO) is used in the classification of hyperspectral fused images; (3) experiments are carried out, where the single radial basis function- (SRBF-) based BDT-SMO classifier and the CRBF-based BDT-SMO classifier are used, respectively, to classify the land usages of hyperspectral fused images, and genetic algorithms (GA) are used to optimize the kernel parameters of the classifiers. …”
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Exploring QSAR for Antimalarial Activities and Drug Distribution within Blood of a Series of 4-Aminoquinoline Drugs Using Genetic-MLR by Amir Najafi, Soheil Sobhanardakani, Mehdi Marjani

“…QSAR modeling of the antimalarial activity and blood-to-plasma concentration ratio of Chloroquine and a new series of 4-aminoquinoline derivatives were developed using genetic algorithms with multiple linear regression (GA-MLR) method. …”
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Strategic Team AI Path Plans: Probabilistic Pathfinding by Tng C. H. John, Edmond C. Prakash, Narendra S. Chaudhari

“…This method is inspired by genetic algorithms (Russell and Norvig, 2002), in that, a fitness function is used to test the quality of the path plans. …”
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An Enhanced Fractional Order Model of Ionic Polymer-Metal Composites Actuator by R. Caponetto, S. Graziani, F. Sapuppo, V. Tomasello

“…The minimization error was attained comparing the simple genetic algorithms with the simplex method and considering the error between the experimental and model derived frequency responses as cost functions.…”
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Optimization of the UWB Feed Antenna Position in Reflector Applications by Nurhan Türker Tokan

“…An automatic and fast design procedure, based on Genetic Algorithms, is described. The proposed methodology has been numerically and experimentally assessed. …”
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Computing Resource Allocation Strategy Using Biological Evolutionary Algorithm in UAV-Assisted Mobile Edge Computing by Li Wang, Xiang Yao, Zhenqi Yuan

“…Aiming at the problems of high computing energy consumption and long time in traditional UAV-assisted edge computing research work, a computing resource allocation strategy using biological evolutionary algorithms in UAV-assisted mobile edge computing is proposed by introducing UAV swarms and genetic algorithms. Firstly, it analyzes the communication model for uplink transmission, the calculation model for local computing tasks, and UAV to perform computing tasks. …”
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Electricity Usage Scheduling in Smart Building Environments Using Smart Devices by Eunji Lee, Hyokyung Bahn

“…An efficient heuristic based on genetic algorithms is performed on a smart device to cut down the huge searching space and find a reasonable schedule within a feasible time budget. …”
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Automated Generation Control of Multiple-Area Electrical System with an Availability-Based Tariff Pricing Scheme Regulated by Whale Optimized Fuzzy PID Controller by Zaid Hamodat, Galip Cansever

“…., whale-optimized fuzzy PID controller, are investigated against already presented methods such as particle swarm optimization and genetic algorithms.…”
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Prediction of Concrete Compressive Strength by Evolutionary Artificial Neural Networks by Mehdi Nikoo, Farshid Torabian Moghadam, Łukasz Sadowski

“…Compressive strength of concrete has been predicted using evolutionary artificial neural networks (EANNs) as a combination of artificial neural network (ANN) and evolutionary search procedures, such as genetic algorithms (GA). In this paper for purpose of constructing models samples of cylindrical concrete parts with different characteristics have been used with 173 experimental data patterns. …”
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Unveiling the Potential of Metaheuristics in Transportation: A Path Towards Efficiency, Optimization, and Intelligent Management by Álvaro Bueno-Ferrer, Jaime De Pablo Valenciano, Jerónimo De Burgos Jiménez

“…The main areas of application are optimization and metaheuristic methods, cost and operational efficiency, planning and scheduling, logistics and transportation, supply chain and logistics networks, energy and sustainability, and demand and users. Additionally, genetic algorithms stand out as particularly important. …”
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On the Efficient Broadcasting of Heterogeneous Services over Band-Limited Channels: Unequal Power Allocation for Wavelet Packet Division Multiplexing by Maurizio Murroni

“…We address this problem by means of the genetic algorithms (GAs), which allow flexible suboptimal solution with reduced complexity. …”
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Generalized Heptagonal Membership Function for Fully Fuzzy Linear Fractional Programming Problems by Israa Hadi, Iden H. Al Kanani

“…Several approaches, including linear programming, nonlinear programming, genetic algorithms, and computational intelligence algorithms, have been suggested to handle fully fuzzy fractional linear programming (FFFL) problems. …”
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A Binary Cuckoo Search for Combinatorial Optimization in Multiyear Pavement Maintenance Programs by Feng Xiao, Shunxin Yang, Jianchuan Cheng, Mingyu Hou, Chenzhu Wang

“…For the optimization analysis of pavement maintenance programs, combinatorial optimization is a pervasive problem. Genetic algorithms (GAs) are widely used to solve combinatorial optimization problems in pavement maintenance programs. …”
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