Analysis of Vector Evaluated Particle Swarm Optimization Guided by Non-Dominated Solutions : Inertia Weight, Cognitive, and Social Constants by Kian, Sheng Lim, Zuwairie, Ibrahim, Salinda, Buyamin, Anita, Ahmad, Nurul Wahidah, Arshad, Faradila, Naim

“…Since a parameter tuning of a heuristic algorithm is normally difficult. Hence, in this paper, three important parameters of the improved VEPSO, which are inertia weight, cognitive constant, and social constant, are analyzed. …”
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Optimal Allocation and Sizing of Distributed Generation in Distribution System via Firefly Algorithm by Mohd Wazir, Mustafa, M. H., Sulaiman, Omar, Aliman, Siti Rafidah, Abdul Rahim, A., Azmi

“…This paper presents an application of Firefly Algorithm (FA) in determining the optimal location and size of Distributed Generation (DG) in distribution power networks. FA is a meta-heuristic algorithm which is inspired by the flashing behavior of fireflies. …”
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Improved Sine Cosine Algorithm for Optimization Problems Based on Self-Adaptive Weight and Social Strategy by Ye Chun, Xu Hua

“…The performance of the IWSCA is evaluated with 23 benchmark test functions and the IEEE CEC 2019 benchmark suite, compare it to a state-of-the-art heuristic algorithm and two improved versions of the SCA. …”
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Joint Optimization Method of User Association and Spectrum Allocation for Multi-UAV-Assisted Communication by D. Wu, Y. Zhang, P. Qian, Y. Chen

“…The mathematical model is a mixed integer non-linear programming (MINLP) problem which we solve by using the alternating optimization approach where we iteratively optimize the user association, sub-channel allocation and power allocation until convergence. We propose a heuristic algorithm to solve the user association sub-problem and use genetic algorithm (GA) to solve the sub-channel allocation sub-problem. …”
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Senior Learning JAYA With Powell’s Method and Incremental Population Strategy by Gurcan Yavuz

“…JAYA algorithm is one a recently developed meta-heuristic algorithm that does not require algorithm-specific parameters. …”
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Dynamic Weighted Symbiotic Organisms Search Algorithm for Global Optimization Problems by Pengjun Zhao, Sanyang Liu

“…The symbiotic organisms search (SOS) algorithm is a current effective meta-heuristic algorithm, which is been applied to solve various types of optimization problems. …”
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Investigation of optimized ELM using Invasive Weed-optimization and Cuckoo-Search optimization by Rathod Nilesh, Wankhade Sunil

“…The feed-forward neural network classifier is used to categorize the data, and it is trained using a hybrid optimization technique called the modified enhanced Invasive Weed, a meta heuristic algorithm, and Cuckoo Search, a non-linear optimization algorithm ELM. …”
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Online Three-Dimensional Bin Packing: A DRL Algorithm with the Buffer Zone by Zhang Jiawei, Shuai Tianping

“…Experimental results show that our algorithm outperforms existing heuristic algorithms and DRL algorithms.…”
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Interior search algorithm for optimal power flow with non-smooth cost functions by Bachir Bentouati, Saliha Chettih, Lakhdar Chaib

“…Where, ISA is a specific type of artificial intelligence and a mathematical programming, not a meta- heuristic algorithm. The effectiveness of this method in solving the OPF problem is evaluated on two test power systems, the IEEE 30-bus and the IEEE 57-bus test systems. …”
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Traveling salesman problem parallelization by solving clustered subproblems by Romanuke Vadim

“…A method of parallelizing the process of solving the traveling salesman problem is suggested, where the solver is a heuristic algorithm. The traveling salesman problem parallelization is fulfilled by clustering the nodes into a given number of groups. …”
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Non-linear mini-max problem of multi-stop flight routes by Srećko Krile, Marina Krile, Petr Průša

“…In this research the efficient heuristic algorithm for optimal transportation of N different loads (e.g. passenger contingent) for the airplane with limited capacity is being developed. …”
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Portfolio optimization using particle swarm optimization method by Reza Raei, Hedayat Alibeiki

“…This study considers the problem of finding the efficient frontier associated with the standard mean-variance portfolio optimization model and presents a heuristic algorithm based upon particle swarm optimization for finding the cardinality constrained efficient frontier. …”
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Ant-Based Transmission Range Assignment Scheme for Energy Hole Problem in Wireless Sensor Networks by Ming Liu, Chao Song

“…In view of the effectiveness of ant colony algorithms in solving combinatorial optimization problems, we propose an ant-based heuristic algorithm (ASTRL) to address the optimal transmission range assignment for the goal of achieving life maximization of sensor networks. …”
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Adopting GRASP to solve a novel model for bus timetabling problem with minimum transfer and fruitless waiting times by Javad Zamani Kafshani, Seyyed Ali Mirhassani, Farnaz Hooshmand

“…Then, since commercial solvers become inefficient to solve moderate and large sized instances of the problem (due to the NP-hardness), a GRASP heuristic algorithm is developed. Computational experiments over a variety of random instances verify the performance of the proposed method.…”
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METHOD OF SIMULTANEOUS OPTIMIZATION OF RADIO DEVICES PERFORMANCE IN FREQUENCY AND TIME DOMAINS by A. V. Smirnov

“…The searching was performed in the coordinatespace of transfer function poles and zeros. The heuristic algorithm of multistart local search type was applied. …”
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Application of Imperialist Competitive Algorithm on Solving the Traveling Salesman Problem by Shuhui Xu, Yong Wang, Aiqin Huang

“…The imperialist competitive algorithm (ICA) is a new heuristic algorithm proposed for continuous optimization problems. …”
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AN ENHANCED JUMPING SPIDER OPTIMIZATION ALGORITHM by Betrand Ngwa ATANGA, Francis Boafo EFFAH, Philip Yaw OKYERE

“…Jumping Spider Optimization (JSO) algorithm is a more recent meta-heuristic algorithm shown to outperform recent algorithms in the literature. …”
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Improving Quality Indicators of the Cloud-Based IoT Networks Using an Improved Form of Seagull Optimization Algorithm by Hamza Mohammed Ridha Al-Khafaji

“…Here, a novel technique is presented to increase the quality of service (QoS) in IoT using an improved meta-heuristic algorithm, called the improved seagull optimization algorithm (ISOA), along with traffic management in these networks. …”
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A Game-Theoretic Approach for the Robust Daily Aircraft Routing Problem by Bin Deng, Hao Guo, Jingfeng Li, Junfeng Huang, Kaiyi Tang, Weidong Li

“…Then, in order to find the suboptimal solution to a large-scale integer programming problem in a limited amount of time, a heuristic algorithm integrating a column generation algorithm and variable domain search is introduced. …”
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An improved harris hawks optimization algorithm based on chaotic sequence and opposite elite learning mechanism by Ting Yang, Jie Fang, Chaochuan Jia, Zhengyu Liu, Yu Liu

“…The Harris hawks optimization (HHO) algorithm is a new swarm-based natural heuristic algorithm that has previously shown excellent performance. …”
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