Makespan-Minimizing Heterogeneous Task Allocation under Temporal Constraints by Byeong-Min Jeong, Yun-Seo Oh, Dae-Sung Jang, Nam-Eung Hwang, Joon-Won Kim, Han-Lim Choi

“…Additionally, the results show a reduction in calculation time and improved performance compared to the heuristic algorithms.…”
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Optimizing Energy Consumption in Smart Cities’ Mobility: Electric Vehicles, Algorithms, and Collaborative Economy by Elnaz Ghorbani, Tristan Fluechter, Laura Calvet, Majsa Ammouriova, Javier Panadero, Angel A. Juan

“…The paper analyzes how collaborative concepts and the increasing use of electric vehicles can contribute to reduce energy consumption practices, as well as intelligent x-heuristic algorithms that can be employed to achieve this fundamental goal. …”
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Traveling-Salesman-Problem Algorithm Based on Simulated Annealing and Gene-Expression Programming by Ai-Hua Zhou, Li-Peng Zhu, Bin Hu, Song Deng, Yan Song, Hongbin Qiu, Sen Pan

“…To better solve the best solution, many heuristic algorithms, such as simulated annealing, ant-colony optimization, tabu search, and genetic algorithm, were used. …”
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Hybrid Henry gas solubility optimization algorithm with dynamic cluster-to-algorithm mapping by Kamal Z., Zamli, Kader, Md. Abdul, Azad, Saiful, Ahmed, Bestoun S.

“…Unlike its predecessor, HHGSO allows multiple clusters serving different individual meta-heuristic algorithms (i.e., with its own defined parameters and local best) to coexist within the same population. …”
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Optimal power flow with renewable power generations using hyper-heuristic technique by Mohd Herwan, Sulaiman, Zuriani, Mustaffa

“…The technique selects and integrates the strengths of three low-level meta-heuristics algorithms, including Grey Wolf Optimizer (GWO), Barnacles Mating Optimizer (BMO), and Whale Optimization Algorithm (WOA), to achieve the best possible results. …”
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An Improved Flower Pollination Algorithm for Global and Local Optimization by M. Iqbal Kamboh, Nazri Bin Mohd Nawi, Azizul Azhar Ramli, Fanni Sukma

“…Meta-heuristic algorithms have emerged as a powerful optimization tool for handling non-smooth complex optimization problems and also to address engineering and medical issues. …”
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Integrated feature selection methods using metaheuristic algorithms for sentiment analysis by Yousefpour, A., Ibrahim, R., Hamed, H. N. A., Yokoi, T.

“…In this paper, a hybrid method and two meta-heuristic algorithms are employed to find an optimal feature subset. …”

ICTE 2013 : Proceedings of the Fourth International Conference on Transportation Engineering : October 19-20, 2013, Chengdu, China / by Peng, Qiyuan, editor, Wang, Kelvin C.P., editor

Comparative Study between Flower Pollination Algorithm and Cuckoo Search Algorithm for t-way Test Data Generation by Abdullah, Nasser, Kamal Z., Zamli

“…As a consequence, several meta-heuristic algorithms have been used as the basis of t-way strategies. …”
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A Hybrid Newton–Raphson and Particle Swarm Optimization Method for Target Motion Analysis by Batch Processing by Raegeun Oh, Yifang Shi, Jee Woong Choi

“…Traditional batch estimation for BO-TMA is mainly performed based on deterministic algorithms, and studies performed with heuristic algorithms have recently been reported. However, since the two algorithms have their own advantages and disadvantages, interest in a hybrid method that complements the disadvantages and combines the advantages of the two algorithms is increasing. …”
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A Novel Ensemble of Arithmetic Optimization Algorithm and Harris Hawks Optimization for Solving Industrial Engineering Optimization Problems by Jinyan Yao, Yongbai Sha, Yanli Chen, Xiaoying Zhao

“…Recently, numerous new meta-heuristic algorithms have been proposed for solving optimization problems. …”
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Hierarchical Optimization Algorithm and Applications of Spacecraft Trajectory Optimization by Hanqing He, Peng Shi, Yushan Zhao

“…The pursuit of excellent performance in meta-heuristic algorithms has led to a myriad of extensive and profound research and achievements. …”
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Accurate Parameter Estimation of a Hydro-Turbine Regulation System Using Adaptive Fuzzy Particle Swarm Optimization by Dong Liu, Zhihuai Xiao, Hongtao Li, Dong Liu, Xiao Hu, O.P. Malik

“…For the parameter estimation of such a nonlinear system, heuristic algorithms are more advantageous than traditional mathematical methods. …”
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Application of improved black hole algorithm in prolonging the lifetime of wireless sensor network by Wei-Min Zheng, Ning Liu, Qing-Wei Chai, Yong Liu

“…The performance of LEBH and other heuristic algorithms are compared on CEC 2013. The result shows that the LEBH outperforms other heuristics in most cases. …”
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An improved simulated annealing algorithm to avoid crosstalk in optical omega network by Abdullah, Monir, Othman, Mohamed, Johari, Rozita

“…Optimal routing in OON is an NP-hard problem. Many heuristic algorithms were designed by many researchers to perform this routing. …”
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Performance evaluation of task scheduling using hybrid meta-heuristic in the heterogeneous cloud environment by Mohammed, Faten Ameen Saif

“…The results will be compared with a three heuristic algorithms. The performance evaluation in this work is a statically analysis that used in an experimental comparison. …”
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Improved covariance matrix evolution strategy algorithm for stochastic dynamic unequal area facility layouts in an open area by Ali, Derakhshanasl

“…Therefore, meta-heuristic algorithms and evolution strategies are needed to solve them. …”
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Short term forecasting based on hybrid least squares support vector machines by Zuriani, Mustaffa, M. H., Sulaiman, Ernawan, Ferda, Noorhuzaimi, Mohd Noor

“…The employed meta-heuristic algorithms are individually served as an optimization tool for LSSVM and later, the forecasting is proceeded by LSSVM. …”
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Search-based reduction model for unit testing by Perla Beatriz Fernández-Oliva, Alejandro Miguel Güemes-Esperón, Martha Dunia Delgado-Dapena, Alejandro Rosete

“…The optimization model uses heuristic algorithms that maximize the coverage of the paths. …”
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Simultaneous selection and scheduling with sequence-dependent setup times, lateness penalties, and machine availability constraint : heuristic approaches by Zarei, Mohammad Hossein, Davvari, Mehdi, Kolahan, Farhad, Wong, Kuan Yew

“…Given that such problems are strongly NP-hard, this paper presents an approach based on two heuristic algorithms for simultaneous job selection and scheduling. …”
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