Studying the Impact of Initialization for Population-Based Algorithms with Low-Discrepancy Sequences by Adnan Ashraf, Sobia Pervaiz, Waqas Haider Bangyal, Kashif Nisar, Ag. Asri Ag. Ibrahim, Joel j. P. C. Rodrigues, Danda B. Rawat

“…To solve different kinds of optimization challenges, meta-heuristic algorithms have been extensively used. Population initialization plays a prominent role in meta-heuristic algorithms for the problem of optimization. …”
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Studying the Impact of Initialization for Population-Based Algorithms with Low-Discrepancy Sequences by Adnan Ashraf, Sobia Pervaiz, Waqas Haider Bangyal, Kashif Nisar, Ag. Asri Ag. Ibrahim, Joel J. P. C. Rodrigues, Danda B. Rawat

“…To solve different kinds of optimization challenges, meta-heuristic algorithms have been extensively used. Population initialization plays a prominent role in meta-heuristic algorithms for the problem of optimization. …”
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Eagle perching optimizer for the online solution of constrained optimization by Ameer Tamoor Khan, Shuai Li, Yinyan Zhang, Predrag S. Stanimirovic

“…It is an addition to the family of swarm-based meta-heuristic algorithms. It mimics eagles’ perching nature to find prey (food). …”
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Optimization of machining processes using pattern search algorithm by Miloš Madić, Miroslav Radovanović

“…In recent years, among the traditional optimization methods, stochastic direct search optimization methods such as meta-heuristic algorithms are being increasingly applied for solving machining optimization problems. …”
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On Performance of Marine Predators Algorithm in Training of Feed-Forward Neural Network for Identification of Nonlinear Systems by Ceren Baştemur Kaya

“…The success of ANN is directly related to the training process. Meta-heuristic algorithms are used extensively for ANN training. …”
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A Hybrid Genetic Wind Driven Heuristic Optimization Algorithm for Demand Side Management in Smart Grid by Nadeem Javaid, Sakeena Javaid, Wadood Abdul, Imran Ahmed, Ahmad Almogren, Atif Alamri, Iftikhar Azim Niaz

“…In this paper, a heuristic algorithms-based energy management controller is designed for a residential area in a smart grid. …”
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Comparative Performance Analysis of Bat Algorithm and Bacterial Foraging Optimization Algorithm using Standard Benchmark Functions by Mazlina, Abdul Majid, Alsariera, Yazan A., Alamri, Hammoudeh S., Nasser, Abdullah M., Kamal Z., Zamli

“…In order to help engineers make a sound decision on the selection amongst the best meta-heuristic algorithms for the problem at hand, there is a need to assess the performance of each algorithm against common case studies. …”
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Balancing of mixed-model two-sided assembly lines using teaching-learning based optimization algorithm by Alper Hamzadayı

“…Experimental results show that TLBO algorithm has a noticeable potential against to the best-known heuristic algorithms and HTLBO algorithm results show that it performs well as far as the best-known heuristic algorithms for the problem in the literature.…”
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Rational satisficing heuristics as determinants of online search behavior by Debora Di Caprio, Francisco J. Santos-Arteaga

“…We design a set of satisficing heuristic algorithms that mimic the online information retrieval behavior of rational decision makers (DMs) as reflected in their click through rates (CTRs). …”
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PMT: opposition-based learning technique for enhancing meta-heuristic performance by Alamri, Hammoudeh S., Kamal Z., Zamli

“…Meta-heuristic algorithms have shown promising performance in solving sophisticated real-world optimization problems. …”
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Assessing the symbiotic organism search variants using standard benchmark functions by Nurul Asyikin, Zainal, Fakhrud, Din, Kamal Z., Zamli

“…Symbiotic Organism Search (SOS) is one of the latest meta-heuristic algorithms created to solve optimization problems. …”
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Multi-Agent Task Allocation with Multiple Depots Using Graph Attention Pointer Network by Wen Shi, Chengpu Yu

“…Although many traditional heuristic algorithms can be adopted to handle the concerned task allocation problem, they are not able to efficiently obtain optimal or suboptimal solutions. …”
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Research on microseismic source localization based on optimized leading wolfpack algorithm by LI Xiaoyan, ZHANG Mingwei, SONG Lei, PANG Yingchun, ZHANG Jieru

“…In order to analyze the impact of different heuristic methods on the precision of microseismic source localization, an optimized Dominant Wolf Pack Algorithm(DWPA)is proposed.This algorithm builds upon the Dominant Wolf Pack Algorithm and introduces adjustments to two parameters, namely the search step size and the siege step size, enhancing its ability to escape local optima during the search process.The effectiveness of the optimized DWPA is validated through theoretical model inversion and engineering numerical analysis.A comparative study with commonly used heuristic algorithms, Particle Swarm Optimization(PSO)and Simulated Annealing(SA), reveals that the optimized DWPA exhibits faster convergence, higher accuracy, and reduced sensitivity to P-wave velocity errors.This research provides new insights for the application of intelligent heuristic algorithms in microseismic source localization.…”
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An Improved Artificial Intelligence Based on Gray Wolf Optimization and Cultural Algorithm to Predict Demand for Dairy Products: A Case Study by Alireza Goli, Hassan Khademi Zare, Reza Tavakkoli-Moghaddam, Ahmad Sadeghieh

“…Then, MLP is improved with the help of novel meta-heuristic algorithms such as gray wolf optimization and cultural algorithm. …”
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Design and Stability Analysis of Multi-Objective Ensemble Classifiers by Zeinab Khatoun Pourtaheri, Seyed Hamid Zahiri, Seyed Mohammad Razavi

“…Due to the stochastic nature of heuristic algorithms, it's necessary to perform stability analysis of heuristic ensemble classifiers. …”
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An Improved Ant Colony Model for Cost Optimization of Composite Beams by Tahereh Korouzhdeh, Hamid Eskandari-Naddaf, Morteza Gharouni-Nik

“…In order to validate the proposed model in optimizing composite beam design, two design examples taken from the literature were studied, and the results were compared to the original ant colony optimization and other meta-heuristic algorithms. The results showed that the improved ant colony method was able to find better solutions and had higher convergence speed than other meta-heuristic algorithms. …”
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O(1) Deltapart part computation technique for the quadratic assignment problem by S. V. Podolsky, Yu. M. Zorin

“…Since this problem is NP-hard, the use of heuristic algorithms is the only way to find in a reasonable time a solution that is close to optimal. …”
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Generalizability and performance of methods to detect non-wear with free-living accelerometer recordings by Esben Lykke Skovgaard, Malthe Andreas Roswall, Natascha Holbæk Pedersen, Kristian Traberg Larsen, Anders Grøntved, Jan Christian Brønd

“…For non-wear episodes longer than 60 min, the heuristic algorithms performed the best with F1-scores above 0.96. …”
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Parallel Enhanced Whale Optimization Algorithm for Independent Tasks Scheduling on Cloud Computing by Zulfiqar Ali Khan, Izzatdin Abdul Aziz, Nurul Aida Bt Osman, Said Nabi

“…Among several challenges on the cloud, task scheduling is one of the fundamental NP-hard problems. Meta-heuristic algorithms are extensively employed to solve task scheduling as a discrete optimization problem and therefore several meta-heuristic algorithms have been developed. …”
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Hybrid flower pollination algorithm strategies for t-way test suite generation by Abdullah, Nasser, Kamal Z., Zamli, Alsewari, Abdulrahman A., Ahmed, Bestoun S.

“…The application of meta-heuristic algorithms for t-way testing has recently become prevalent. …”
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