Optimizing the learning process of multi-layer perceptrons using a hybrid algorithm based on MVO and SA by Ömer Yılmaz, Adem Alpaslan Altun, Murat Köklü

“…The productivity of MVOSANN has been compared with 12 well-recognized and current meta-heuristic algorithms. Experimental results show that MVOSANN produces very successful and competitive results.…”
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A fast and compact algorithm for large-scale TSP optimization by Xu, Yihan

“…The result shows that compared to the traditional heuristic algorithms, the new algorithm can reach a good balance between the time-cost and the quality of the solutions.…”
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An Experimental Study of Hyper-heuristic Selection and Acceptance Mechanism for Combinatorial T-Way Test Suite Generation by Kamal Z., Zamli, Fakhrud, Din, Kendall, Graham, Ahmed, Bestoun S.

“…Although useful, meta-heuristic algorithms that make up these strategies often require specific domain knowledge in order to allow effective tuning before good quality solutions can be obtained. …”
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A novel control approach for harmonic compensation using switched power filter compensators in micro‐grids by Nima Khosravi, Hamid Reza Abdolmohammadi, Sajad Bagheri, Mohammad Reza Miveh

“…To find the best answer to this problem, the related gains using four meta‐heuristic algorithms, including artificial bee colony (ABC), particle swarm optimization (PSO), harmonic search (HS), and differential evolution (DE) are optimized and compared. …”
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Presenting a bi-objective integrated production – distribution planning problem model in a multi echelon supply chain with considering service level by Abolfazl Kazemi, Keyvan Sarrafha, Abolfazl Kazemi

“…Since the solution quality of all meta-heuristic algorithms severely depended on their parameters, Taghuchi method has been utilized to tune the parameters of algorithms. …”
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Unequal-area stochastic facility layout problems: solutions using improved covariance matrix adaptation evolution strategy, particle swarm optimisation, and genetic algorithm by Derakhshan Asl, Ali, Wong, Kuan Yew, Tiwari, Manoj Kumar

“…These problems are non-deterministic polynomial-time hard and very complex, thus meta-heuristic algorithms and evolution strategies are needed to solve them. …”

Application of Nature-Inspired Algorithms to Computed Tomography with Incomplete Data by Mariusz Pleszczyński, Adam Zielonka, Marcin Woźniak

“…However, taking into account the specificity of the reconstructed object allows to reduce the number of parameters and effectively use heuristic algorithms in the field of CT. This paper compares the efficacy and suitability of three nature-inspired heuristic algorithms: Artificial BeeColony (ABC), Ant Colony Optimization (ACO), and Clonal Selection Algorithm (CSA) in the CT context, showing their advantages and weaknesses. …”
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Comparison of Metaheuristic Optimization Algorithms for Quadrotor PID Controllers by Batikan Erdem Demir, Funda Demir

“…One of these methods is to make use of meta-heuristic algorithms in control systems. There are some limitations of using a PID controller as a classical construct. …”
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Development of Nonlinear Parsimonious Forest Models Using Efficient Expansion of the Taylor Series: Applications to Site Productivity and Taper by Alexandru Amarioarei, Mihaela Paun, Bogdan Strimbu

“…The approach that supplies unbiased results when the dependent variable is transformed without heuristic algorithms, but based on a Taylor series expansion requires implementation details. …”
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ARP: asexual reproduction programming by Alireza Khanteymoori, Fatemeh Alamdar, Farzaneh Ghorbani

“…Algorithms based on Bio-inspired problems are among the most popular techniques of this field. In meta-heuristic algorithms, Genetic algorithm is one of the most useful. …”
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Investment portfolio optimization using local version particle swarm optimization with mutation by Rong, Fenghe

“…Due to development of high-power computers, heuristic algorithms are applied broader at present, especially in financial engineering. …”
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A Matheuristic Approach for the No-Wait Flowshop Scheduling Problem with Makespan Criterion by Yu Gao, Ziyue Wang, Liang Gao, Xinyu Li

“…This paper uses a matheuristic approach that combines exact and heuristic algorithms to solve it with the objective to minimize the makespan. …”
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Hybrid gradient descent cuckoo search (HGDCS) algorithm for resource scheduling in IaaS cloud computing environment by Madni, Syed Hamid Hussain, Abd. Latiff, Muhammad Shafie, Abdulhamid, Shafi’i Muhammad, Ali, Javed

“…This work compares the makespan, throughput, load balancing and performance improvement rate of existing meta-heuristic algorithms with proposed HGDCS algorithm applicable for cloud computing. …”

Enhancing extreme learning machines classification with moth-flame optimization technique by Alade, Oyekale Abel, Sallehuddin, Roselina, Mohamed Radzi, Nor Haizan

“…The improvement rates are qualitatively and quantitatively evaluated to show the improvement of MFO-ELM on ELM and the other meta-heuristic algorithms. MFO-ELM improved the accuracies of the basic ELM in all 100% of the simulations and performed better than the other meta-heuristic algorithms in 80% of the simulations. …”
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AVOA and ALO Algorithm for Energy-Efficient No-Idle Permutation Flow Shop Scheduling Problem: A Comparison Study by Yolanda Mega Risma, Dana Marsetiya Utama

“…The implementation of such innovative meta-heuristic algorithms holds the potential to significantly contribute to global energy conservation efforts while enhancing the efficiency of industrial operations. …”
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A novel global FPPT strategy for PV system under partial shading condition by Xueliang Xing, Limin Jia, Xiangzhen Yang

“…By statistical experiments compared with eight popular meta‐heuristic algorithms, the mCPA can correctly converge to the global MPP under various scenarios with the highest accuracy of 99.0%. …”
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An appraisal of meta-heuristic resource allocation techniques for IaaS cloud by Madni, S. H. H., Latiff, M. S. A., Coulibaly, Y., Abdulhamid, S. M.

“…However, twenty-three studies are selected that focused on the meta-heuristic algorithms for their research. The selected papers are categorized into eight groups according to the optimization algorithms used. …”

Effect of adopting different dispatching rules on the mean flow time in a two machine batch-shop problem by Abdelraheem Elhaj, Hazir Farouk

“…Therefore, researchers concentrated on developing branch-and-bound or heuristic algorithms. Ali Allahverdi, 1998 obtained the optimal solutions for minimizing mean flow time in a two-machine flow shop with Sequence-independent set up times by using three heuristic algorithms. …”
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Heuristic Optimization Approaches for Capacitor Sizing and Placement: A Case Study in Kazakhstan by Olzhas Baimakhanov, Hande Şenyüz, Almaz Saukhimov, Oğuzhan Ceylan

“…We use two recently developed heuristic algorithms called Salp Swarm Optimization algorithm (SSA) and Dragonfly algorithm (DA) to solve the proposed optimization models. …”
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A Hybridized Flower Pollination Algorithm and Its Application on Microgrid Operations Planning by Thi-Kien Dao, Trong-The Nguyen, Vinh-Tiep Nguyen, Trinh-Dong Nguyen

“…The meta-heuristic algorithms have been applied to handle various real-world optimization problems because their approach closely resembles natural human thinking and processing relatively quickly. …”
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