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Seed disperser ant algorithm for optimization / Chang Wen Liang by Chang , Wen Liang

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Optimized topology control in mobile IP networks using a new parametric routing algorithm by Gholizadeh, Somayyeh, Abdullah, Azizol, Othman, Mohamed, Mohd Hanapi, Zurina

“…Then, a new optimal routing algorithm is proposed to make up the node failure and changing Foreign Agent (FA). …”
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Firefly photinus search algorithm by Alomoush, Waleed, Omar, Khairuddin, Alrosan, Ayat, Alomari, Yazan M., Albashish, Dheeb, Almomani, Ammar

Exponentially adaptive sine-cosine algorithm for global optimization by Mohd Falfazli, Mat Jusof, Nurul Amira, Mhd Rizal, Ahmad Azwan, Abdul Razak, Shuhairie, Mohammad, Ahmad Nor Kasruddin, Nasir

“…Sine-Cosine algorithm (SCA) is an optimization algorithm formulated based on mathematical Sine and Cosine terms. …”
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Barnacles mating optimizer: a bio-inspired algorithm for solving optimization problems by Mohd Herwan, Sulaiman, Zuriani, Mustaffa, Mohd Mawardi, Saari, Hamdan, Daniyal, Mohd Razali, Daud, Saifudin, Razali, Amir Izzani, Mohamed

“…A novel bio-inspired optimization algorithm is proposed in this paper namely barnacles mating optimization (BMO) algorithm. …”
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A new soft computing model for daily streamflow forecasting by Sammen S.S., Ehteram M., Abba S.I., Abdulkadir R.A., Ahmed A.N., El-Shafie A.

A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem by Mohd Pozi, Muhammad Syafiq

“…The main keys of the new classifier are based on the new kernel method, new learning metric and a new optimization algorithm in order to optimize the SVM decision function. …”
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IDSA: an efficient algorithm for skyline queries computation on dynamic and incomplete data with changing states by Gulzar, Yonis, Alwan, Ali Amer, Ibrahim, Hamidah, Turaev, Sherzod, Wani, Sharyar, Soomro, Arjumand Bano, Hamid, Yasir

“…These two optimization techniques lead to a large reduction in the number of domination tests due to avoiding re-computing of skylines over the entire updated database to derive the new skylines. …”
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Modified ACS centroid memory for data clustering by Jabbar, Ayad Mohammed, Ku-Mahamud, Ku Ruhana, Sagban, Rafid

“…Ant Colony Optimization for Clustering (ACOC) is a swarm algorithm inspired from nature to solve clustering issues as optimization problems. …”
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New bio-inspired barnacle optimizers based least-square support vector machine for time-series prediction of pandemic outbreaks by Marzia, Ahmed

“…Secondly, this thesis invents the new bio-inspired Gooseneck Barnacle Optimization Algorithm (GBO), drawing inspiration from gooseneck barnacle mating behaviors, to address the limitations of the original BMO and its variants, aiming for more realistic and robust optimization. …”
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Optimized differential evolution algorithm for linear frequency modulation radar signal denoising by Al-Dabbagh, Mohanad Dawood Hasan

“…We refer to the new DE algorithm as random variable length crossover DE (rvlx- DE) algorithm. …”
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Ant colony optimization in dynamic environments by Chen, Fei Huang

“…Dynamic optimization problems differ from the static ones where the optimal solution is dynamic and changes over time. …”
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Modern optimization algorithms and applications in solar photovoltaic engineering by Tyukhov, I., Rezk, H., Vasant, P.

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Multi-stage thermal-economical optimization of compact heat exchangers: A new evolutionary-based design approach for real-world problems by Yousefi, M., Darus, A.N., Yousefi, M., Hooshyar, D.

“…Furthermore, the proposed algorithm has shown a superior performance in finding the near-optimum solution for this task when it is compared to the most popular evolutionary algorithms in engineering applications, i.e. genetic algorithm (GA) and particle swarm optimization (PSO).…”
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Multi-stage thermal-economical optimization of compact heat exchangers: A new evolutionary-based design approach for real-world problems by Yousefi M., Darus A.N., Yousefi M., Hooshyar D.

IDSA: an efficient algorithm for skyline queries computation on dynamic and incomplete data with changing states by Gulzar, Yonis, Alwan, Ali Amer, Ibrahim, Hamidah, Turaev, Sherzod, Wani, Sharyar, Soomo, Arjumand Bano, Hamid, Yasir

“…These two optimization techniques lead to a large reduction in the number of domination tests due to avoiding re-computing of skylines over the entire updated database to derive the new skylines. …”
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A new approach for recognition of human emotions by Karthigayan, M., Mohd Rizon, Muhamed Juhari, Sazali, Yaacob, Nagarajan, R.

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Photovoltaic System with INC MPPT Algorithm in MATLAB Simulink by F.Z. Hamidon, Nor Shafiqin, P.D. Abd. Aziz, N.H. Mohd Yunus, UniKL BMI

“…Simulation results show that the MPPT with INC algorithm offers the best performance in terms of its fastest response in tracking new MPP and highest efficiency under rapid change of irradiance level.…”

Enhanced genetic algorithm optimization model for a single reservoir operation based on hydropower generation: case study of Mosul reservoir, northern Iraq by Al‑Aqeeli, Yousif H., Lee, Teang Shui, Abd Aziz, Samsuzana

“…The first algorithm was based on the traditional simulation of reservoir operation, whilst the second algorithm (Salg) enhanced the GAOM by changing the population values of GA through a new simulation process of reservoir operation. …”
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Toward bridging future irrigation deficits utilizing the shark algorithm integrated with a climate change model by Ehteram M., El-Shafie A.H., Hin L.S., Othman F., Koting S., Karami H., Mousavi S.-F., Farzin S., Ahmed A.N., Zawawi M.H.B., Hossain M.S., Mohd N.S., Afan H.A., El-Shafie A.

“…Runoff volume was then predicted with the IHACRES model. A new, nature-inspired optimization algorithm, named the shark algorithm, was examined. …”