Two-Layer Network Caching for Different Service Requirements by Gianluca Reali, Mauro Femminella

“…After the determination of the approximation ratio of the greedy heuristic algorithms proposed, a numerical performance analysis is shown. …”
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Three hybrid GAs for discounted fixed charge transportation problems by Farhad Ghassemi Tari, Zhrasadat Hashemi

“…Due to the NP hard complexity of the mathematical model, three prioritized K-mean clustering hybrid GAs, by incorporating two new heuristic algorithms, are proposed. The efficiency of the algorithms is compared and the best one is designated. …”
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A new intrusion detection system based on fast learning network and particle swarm optimization by Ali, Mohammed Hasan, Mohamad Fadli, Zolkipli, Al Mohammed, B.A.D., Alyani, Ismail

“…Our developed model has been compared against a wide range of meta-heuristic algorithms for training ELM, and FLN classifier. …”
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Self-adaptive Population Size Strategy Based on Flower Pollination Algorithm for T-Way Test Suite Generation by Abdullah, Nasser, Kamal Z., Zamli

“…The performance of meta-heuristic algorithms is highly dependents on the fine balance between intensification and diversification. …”
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An application of the whale optimization algorithm with Levy flight strategy for clustering of medical datasets by Ayşe Nagehan Mat, Onur İnan, Murat Karakoyun

“…Many traditional and heuristic algorithms are used in clustering problems and new techniques continue to be developed today. …”
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GPU Acceleration and Game Engines for Wireless Channel Estimation in Millimeter Waves by Jorge Gomez-Rojas, Dinael Guevara, Andres Navarro, Juan Pascual-Garcia

“…In this article, the intended purpose is to show an innovative technique for estimating the MIMO channel at millimeter wave bands, candidates for mobile 5G technology, by using hardware acceleration, game engines and heuristic algorithms applied to optical ray launching techniques. …”
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Experimental study on solution possibilities of multiextremal optimization problems through heuristic methods by Rudolf A. Neydorf, Ivan V. Chernogorov, Orkhan Takhir Yarakhmedov, Victor V. Polyakh

“…While it is necessary to use proper specific approaches to solving the local extremum detection and identification problem in each of the heuristic algorithms, they all require data clustering. Each method can provide any desired accuracy of the extremum problem solution, and it utilizes an acceptable time resource.…”
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Optimization of the supply chain network planning problem using an improved genetic algorithm by Zhao Liang, Xie Jing

“…The analysis of the arithmetic example showed that compared with the traditional GA, the total cost obtained by the improved GA was lower, at 39,004.48 $, which was 6.5% less than that of the traditional GA; the solution result of the improved GA was also superior to that of other heuristic algorithms, such as particle swarm optimization and ant colony optimization. …”
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A Review of Path-Planning Approaches for Multiple Mobile Robots by Shiwei Lin, Ang Liu, Jianguo Wang, Xiaoying Kong

“…The multi-robot path-planning approaches have been classified as classical approaches, heuristic algorithms, bio-inspired techniques, and artificial intelligence approaches. …”
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The Application of Ant Colony Algorithm in Solve the Traveling Salesman Problem with Fuzzy Movement Time among Cities by Jamshid Salehi Sadaghiani

“…Traveling salesman problem (TSP) is one of the most well-known combinational optimization problems which recently has been a suitable base to validate different heuristic and Meta heuristic algorithms. Multiple application of this problem in both theoretical and operational field is remarkable to researches. …”
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Agent State Flipping Based Hybridization of Heuristic Optimization Algorithms: A Case of Bat Algorithm and Krill Herd Hybrid Algorithm by Robertas Damaševičius, Rytis Maskeliūnas

“…This paper describes a unique meta-heuristic technique for hybridizing bio-inspired heuristic algorithms. The technique is based on altering the state of agents using a logistic probability function that is dependent on an agent’s fitness rank. …”
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A Class of Efficient Algorithms for the Bi-Level Demand Adjustment Problems in Congested Traffic Networks by Lan Cheng, Jun Xie, Jun Huang, Liyang Feng, Qianni Wang, Hongtai Yang

“…This paper studies a class of gradient-descent heuristic algorithms for the bi-level demand adjustment problem (DAP), which seeks to adjust origin-destination (OD) matrices based on observed link flows in congested transportation networks. …”
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Combination of CDM, ANFIS & MH Algorithms in a model to determine Fraudulent Financial-Tax Report by maryam yokhanehalghyani, jamal bahrisales, Saeid Jabbarzadeh Kangarluei, Akbar Zavari Rezaei

“…The purpose of this study is to combine data mining tools and artificial intelligence with meta-heuristic algorithms to explain and optimize a model for detecting fraud and tax evasion by using the capacity of financial reporting. …”
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An Energy-Aware QoS Load Balance Scheduling Using Hybrid GAACO Algorithm for Cloud by Ilankumaran Arivumathi, Narayanan Swathi Jamjala

“…In addition to that, the GA and ACO are the kinds of object heuristic algorithms being proposed in the work to increase the number of servers that are operated with better energy efficiency. …”
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Efficient Subpopulation Based Parallel TLBO Optimization Algorithms by Alejandro García-Monzó, Héctor Migallón, Antonio Jimeno-Morenilla, José-Luis Sánchez-Romero, Héctor Rico, Ravipudi Venkata Rao

“…Most of them are based on phenomena in nature and require the correct tuning of some parameters, which are specific to the algorithm. Heuristic algorithms allow problems to be solved more quickly than deterministic methods. …”
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Flower pollination algorithm for convolutional neural network training in vibration classification by Md. Esa, Md. Fadil, Mustaffa, Noorfa Haszlinna, Mohamed Radzi, Nor Haizan, Sallehuddin, Roselina

“…Some methods to optimize CNN training have been proposed, such as stochastic and meta-heuristic algorithms. In this paper, we propose a flower pollination algorithm (FPA) to train CNN. …”

Flower pollination algorithm for convolutional neural network training in vibration classification by Md. Esa, Md. Fadil, Mustaffa, Noorfa Haszlinna, Mohamed Radzi, Nor Haizan, Sallehuddin, Roselina

“…Some methods to optimize CNN training have been proposed, such as stochastic and meta-heuristic algorithms. In this paper, we propose a flower pollination algorithm (FPA) to train CNN. …”

Comparative analysis of gravitational search algorithm and k-means clustering algorithm for intrusion detection system by Shahri, Bibi Masoomeh Aslahi, Zadeh, Saeed Khorashadi, Adeyemi, Ikuesan Richard, Zainal, Anazida

“…In recent years, heuristic algorithms have been applied to solve clustering problems. …”

A Modified Grey Wolf Optimizer Based Data Clustering Algorithm by Ramin Ahmadi, Gholamhossein Ekbatanifard, Peyman Bayat

“…In this work, we propose a modified gray wolf optimizer to tackle some of the challenges in meta-heuristic algorithms. These modifications include a balanced approach to the exploration and exploitation stages of the algorithm as well as a local search around the best solution found. …”
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An immune plasma algorithm based approach for UCAV path planning by Selcuk Aslan, Tevfik Erkin

“…The results found by the IPA were also compared with the results obtained by a set of well-known meta-heuristic algorithms. The comparative studies informed that IPA is capable of finding more robust path or paths for the UCAV operating on a battlefield and outperforms other executed algorithms for almost all the test scenarios.…”
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