Optimal sensor placement for model updating of civil engineering structures subjected to future dynamic loadings by Li, Shu Wei

“…These will be solve by probability models which are constructed through heuristic algorithm. This project based on a twenty-nine degree of freedom (DOF) truss structure (bridge) with large model uncertainties, which is illustrated by determine the optimal sensor configurations using modified information entropy measure and Monte Carlo simulation. …”
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Binary-tree encoding for uniform binary sources in index modulation systems by Coon, J, Badiu, M, Liu, Y, Yarkin, F, Dang, S

“…We develop (approximately) optimal solutions to the relaxed problem by using new bounds and asymptotic results, and then use a novel heuristic algorithm to project the relaxed solution onto a point in the feasible set of the constrained problem. …”

Effects of integration on the cost reduction in distribution network design for perishable products by Firoozi, Zahra, Ismail, Napsiah, Ariafar, Shahram, Tang, Sai Hong, Mohd Ariffin, Mohd Khairol Anuar, Mamariani, A.

“…For verification of the proposed algorithm, its results are compared with the results of an adapted Lagrangian relaxation heuristic algorithm from the literature. Moreover, sensitivity analysis of the main parameters of the model is conducted to compare the results of the integrated approach with a decoupled method. …”
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CSGO: a game-inspired metaheuristic algorithm for global optimization by Rahman, Tuan A. Z., Md Rezali, Khairil Anas, As'arry, Azizan

“…This paper presents a video game-inspired meta-heuristic algorithm and its performance evaluation. This optimizer algorithm is developed by assembling impressive features of previous well-known optimizer algorithms such as stochastic fractal search (SFS), artificial gorilla troops optimizer (GTO) and marine predators algorithm (MPA) with addition of chaotic operators. …”

Firefly algorithm technique for solving economic dispatch problem by Sulaiman, Mohd Herwan, Mustafa, Mohd Wazir, Zakaria, Z. N., Aliman, O., Abdul Rahim, Siti Rafidah

“…Until now, there are a lot of researches that have been done to seek for closest optimum result in determining the power generation of each generator especially in large scale power system. FA is a meta-heuristic algorithm which is inspired by the flashing behavior of fireflies. …”

Learning enhancement of radial basis function neural network with harmony search algorithm by Ahmed, Mohamed Hassan

“…Therefore, to realize the enhancement of the learning process of RBF and overcome these PSO problems, Harmony Search Meta-Heuristic Algorithm (HSA) was employed to optimize the RBF network and attain the desired objectives. …”
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An efficient optimization method for solving unsupervised data classification problems by Shabanzadeh, Parvaneh, Yusof, Rubiyah

“…In this paper a heuristic algorithm, Biogeography-Based Optimization (BBO) algorithm, was adapted for data clustering problems by modifying the main operators of BBO algorithm, which is inspired from the natural biogeography distribution of different species. …”
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Influence maximisation towards target users on social networks for information diffusion by Temitope, Olanrewaju Abdus-Samad, Ahmad, Rahayu, Mahmuddin, Massudi

“…Influence maximisation has been an area of active research in recent years.This study aims to extend the fundamental influence maximisation problem (IMP) with respect to a set of target users on a social network.It is important to aim at the target users to speed up the rate of information diffusion and reduce the information diffusion cost.In doing so, the MITU algorithm was formulated and compared with state of the art algorithms.Publicly available datasets were used in validating the proposed algorithm.It was found that the MITU identified all target nodes while significantly lowering the information diffusion cost function (IDCF) by up to 79%.The influence overlap problem was equally identified in the heuristic algorithm where the seed set size was reduced by an average of six times.Furthermore, the random influencer selection identifies target nodes better than the betweenness and PageRank centralities.The findings could help organisations to reach target users on social media in the shortest cycle.…”
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Nearest greedy for solving the waste collection vehicle routing problem: A case study by Mat, Nur Azriati, Benjamin, Aida Mauziah, Abdul-Rahman, Syariza, Wibowo, Antoni

“…This paper presents a real case study pertaining to an issue related to waste collection in the northern part of Malaysia by using a constructive heuristic algorithm known as the Nearest Greedy (NG) technique. …”

Influence maximization towards target users on social networks for information diffusion by Temitope, Olanrewaju Abdus-Samad, Ahmad, Rahayu, Mahmuddin, Massudi

“…The influence overlap problem was equally identified in the heuristic algorithm where the seed set size was reduced by an average of six times. …”
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Dynamic Probability Selection for Flower Pollination Algorithm based on Metropolis-hastings Criteria by Zamli, Kamal Zuhairi, Din, Fakhrud, Nasser, Abdullah, Ramli, Nazirah, Mohamed, Noraini

“…Flower Pollination Algorithm (FPA) is a relatively new meta-heuristic algorithm that adopts its metaphor from the proliferation role of flowers in plants. …”
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Defending on networks : applying game theory to prevent illegal activities in structured security domains by Wang, Xinrun

“…The results show that our model captures the interdependent behaviors of users and our heuristic algorithm converges efficiently under mild convergence criteria and outperforms the baselines with good robustness.…”
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Solving the Traveling Salesman’s Problem using the African Buffalo Optimization by Odili, Julius Beneoluchi, M. N. M., Kahar

“…This paper proposes the African Buffalo Optimization (ABO) which is a new meta-heuristic algorithm that is derived from careful observation of the African buffalos, a species of wild cows, in the African forests and savannahs. …”
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A Novel Soft Set Approach in Selecting Clustering Attribute by Qin, Hongwu, Ma, Xiuqin, Jasni, Mohamad Zain, Herawan, Tutut

“…Furthermore, we use it to select a clustering attribute for categorical datasets and a heuristic algorithm is presented. Experiment results on fifteen UCI benchmark datasets showed that the proposed approach provides a faster decision in selecting a clustering attribute as compared with maximum dependency attributes (MDAs) approach up to 14.84%. …”
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Unrelated Parallel Machine Scheduling Problem Considering Job Splitting, Inventories, Shortage, and Resource: A Meta-Heuristic Approach by Mohammad Arani, Mohsen Momenitabar, Tazrin Jahan Priyanka

“…To feed the metaheuristic algorithm with an initial viable solution, a heuristic algorithm is also fabricated. Also, the discrete version of the GWO algorithm for this specific problem is proposed to obtain the results. …”
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Performansi Algoritma CODEQ dalam Penyelesaian Vehicle Routing Problem by Annisa Kesy Garside, Satya Sudaningtyas

“…CODEQ is a new, parameter free meta-heuristic algorithm that had been successfully used to solve constrained optimization problems, integer programming, and feed-forward neural network. …”
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Two-objective optimization of preventive maintenance orders scheduling as a multi-skilled resource-constrained flow shop problem by Masoud Fekri, Mehdi Heydari, Mohammad Mahdavi Mazdeh

“…To solve the model on a small scale, CPLEX is used, and to solve it on a large scale, due to the fact that this problem is NP-Hard, a meta-heuristic algorithm named Genetic Algorithm (GA) is presented. …”
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A Novel Hybrid Algorithm Based on Grey Wolf Optimizer and Fireworks Algorithm by Zhihang Yue, Sen Zhang, Wendong Xiao

“…Grey wolf optimizer (GWO) is a meta-heuristic algorithm inspired by the hierarchy of grey wolves (Canis lupus). …”
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Router Activation Heuristics for Energy-Saving ECMP and Valiant Routing in Data Center Networks by Piotr Arabas, Tomasz Jóźwik, Ewa Niewiadomska-Szynkiewicz

“…Similar results of using our efficient heuristic algorithm and solving the optimization task confirmed the usability and effectiveness of our solution. …”
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No idle flow shop scheduling models for optimization of machine rental costs with processing and separated setup times by Shakuntla Singla, Harshleen Kaur, Deepak Gupta, Umar Muhammad Modibbo, Jatinder Kaur

“…This study proposes a novel heuristic algorithm that optimally sequences jobs to minimize the makespan and eliminates machine idle time, thereby reducing machine rental costs. …”
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