Search Results - (( developing sustainability evolutionary algorithm ) OR ( java implication based algorithm ))

Application and evaluation of the evolutionary algorithms combined with conventional neural network to determine the building energy consumption of the residential sector by Wang G., Mukhtar A., Moayedi H., Khalilpoor N., Tt Q.

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Intelligent energy systems using the barnacles mating optimizer and evolutionary mating algorithm: Foundations, methods, and applications by Mohd Herwan, Sulaiman, Zuriani, Mustaffa

“…Intelligent Energy Systems using the Barnacles Mating Optimizer and Evolutionary Mating Algorithm: Foundations, Methods, and Applications reveals the potential of innovative optimization algorithms to support sustainability in modern energy systems. …”
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Embedded Meta evolutionary-firefly algorithm-ANN for multi dg planning in distribution system / Siti Rafidah Abdul Rahim by Abdul Rahim, Siti Rafidah

“…In this study, Meta Evolutionary–Firefly Algorithm (EMEFA) was initially developed to expedite the computational time in multi-DG installation with improved accuracy. …”
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A hybrid MEP and AIS Algorithm for energy dispatch in power system by ELIA ERWANI BINTI HASSAN, Mohamad Radzi Bin Mohamad Ridzuan, Hassan, Elia Erwani, Abdullah, Abdul Rahim

“…Based on original Meta Heuristic Evolutionary Programming (Meta-EP) method with a consideration on cloning process as in Artificial Immune System (AIS) algorithm together thus identified as New Meta Heuristic Evolutionary Programming algorithm (NMEP). …”
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Enhanced multi-objective evolutionary mating algorithm with improved crowding distance and levy flight for optimizing comfort index and energy consumption in smart buildings by Muhammad Naim, Nordin, Mohd Herwan, Sulaiman, Nor Farizan, Zakaria, Zuriani, Mustaffa

“…It contributing to the broader fields of building automation and sustainable development while aligning with Industry 4.0 initiatives.…”
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An Environmentally Energy Dispatch Using New Meta Heuristic Evolutionary Programming by Mohamad Ridzuan, Mohamad Radzi

“…Basically,one important issue in the power system network is to provide the optimal Economic Load Dispatch (ELD) solution in order to guarantee the sustainable consumer load demand.However,today ELD solution is essential to include together with the environmental aspect and known as Environmental Economic Load Dispatch (EELD).For that reason, many researchers continue in the development of new simulation tool specifically to overcome the EELD problems.Therefore,this study prepared an improved hybrid metaheuristic technique named as New Meta Heuristic Evolutionary Programming (NMEP) to provide the best possible solution in solving the identified single objective and multi objective functions for EELD solution.This new technique a merging cloning strategy that involved in an Artificial Immune System (AIS) algorithm into algorithm of Meta Heuristic Evolutionary Programming (Meta-EP).The development of NMEP technique is to minimize total cost,reduce the total emission during generator operation through the common formula in EELD and lowest total system loss.Besides that,all mentioned objective functions were also optimized together simultaneously that formulated using the weighted sum method before had been executed on the multi objective NMEP or called MONMEP.Both individual and multi objective NMEP techniques performance were verified among other two common heuristic methods known as AIS and Meta-EP techniques.In addition,the best possible solution defined using the aggregate function method.Through this method,the selection of the best MOEELD solution became effortless as compared with MO individually that required compare two or more objective function in one time manually.Among those three optimization techniques the lowest total aggregate values mostly resulted via the NMEP technique.Based upon that,the proposed technique is proving as the outstanding method compared with Meta-EP and AIS techniques in solving the EELD problem for both standard IEEE 26 bus and 57 bus systems.…”
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Feature optimization with metaheuristics for Artificial Neural Network-based chiller power prediction by Nor Farizan, Zakaria, Mohd Herwan, Sulaiman, Zuriani, Mustaffa

“…This paper presents a novel Evolutionary Mating Algorithm (EMA) hybridized with Artificial Neural Networks (ANN) for optimizing feature selection. …”
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A Novel Hybrid Evolutionary Data-Intelligence Algorithm for Irrigation and Power Production Management: Application to Multi-Purpose Reservoir Systems by Yaseen, Zaher, Ehteram, Mohammad, Hossain, Md., Fai, Chow, Koting, Suhana, Mohd, Nuruol Syuhadaa, Jaafar, Wan Zurina Wan, Afan, Haitham Abdulmohsin, Lai, Sai Hin, Zaini, Nuratiah, Ahmed, Ali, El-Shafie, Ahmed

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Assessing the performance of DG in distribution network by Siti Rafidah, Abdul Rahim, Ismail, Musirin, Dr., Mohd Herwan, Sulaiman, Dr., Muhd Hatta, Hussain, Azralmukmin, Azmi

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Development of a Novel Hybrid Optimization Algorithm for Minimizing Irrigation Deficiencies by Valikhan-Anaraki, Mahdi, Mousavi, Sayed-Farhad, Farzin, Saeed, Karami, Hojat, Ehteram, Mohammad, Kisi, Ozgur, Fai, Chow Ming, Hossain, Md Shabbir, Hayder, Gasim, Ahmed, Ali Najah, El-Shafie, Amr H., Hashim, Huzaifa, Afan, Haitham Abdulmohsin, Lai, Sai Hin, El-Shafie, Ahmed

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Hybrid or modified optimization algorithms for dam reservoir water operation: A review by Nurhikmah F., Hossain M.S., Zawawi M.H.

“…It gave birth to most of population-based Metaheuristics such as Evolutionary Algorithms (EAs), Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC) etc. � 2018 Author(s).…”

Advances in fatigue life modeling: A review by Kamal, Minhas, M. M., Rahman

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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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The pre-process of smart grid algorithm design for network centric air operation during crisis management / Kritsana Sukdee ... [et al]. by Kritsana, Sukdee, Wattanapong, Rakwichian, Watchara, Wongpanyo, Bunyawat, Vichanpol, Chatkaew, Chailuecha

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An interactive C++ programming courseware (SIFOO) / Mazliana Hasnan … [et al.] by Hasnan, Mazliana, Othman, Zainab, Mohamad, Norizan, Abdullah, Zamlina

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Load margin expansion for sustainable power system operation by E.E, Hassan, T.K.A, Rahman, Nazrulazhar, Bahaman, Zuhaina, Zakaria

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Load margin expansion for sustainable power system operation by Hassan, Elia Erwani, Jifri, Mohd Hanif, Abdul Rahman, Titik Khawa, Zakaria, Zuhaina, Bahaman, Nazrulazhar

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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Fuzzy-Pid Based Controler For Active Vibration Control Of Nonlinear Dynamic Systems by Annisa, Jamali, Muhammad Sukri, Hadi, Hanim, Mohd Yatim, Mat Hussin, Ab Talib, Intan Zaurah, Mat Darus

“…The vibration data obtained experimentally was used to model the dynamic system based on auto-regressive with exogenous input structure using evolutionary swarm algorithm. The model obtained in simulation environment was then used for the development of PID-Fuzzy based controller. …”
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Study on criticality Minimizing Cost in power system with optimal design of stochastic wind power generators using moth flow optimization by Alam, Mohammad Khurshed, Mohd Herwan, Sulaiman, Sayem, MD Shaoran, Chowdhury, Jannat Khair, Foysal, Md., Akter Ringku, Md. Mahfuzur

“…The placement of wind turbines in a wind farm requires the use of evolutionary algorithms and power system optimization issues because the wake effect caused by upstream turbines impacts the output of downstream turbines, consequently diminishing the total power output from the wind farm. …”
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