Search Results - optimal policy algorithm*

Optimization of operational policies for the Minab Reservoir, Southern Iran by Gholampoor, Mohammad

“…To mitigate the drought condition the probable scenarios, policies and management were applied. Rule curve for five possible scenarios were optimized by using Genetic Algorithms. …”
Get full text
Get full text

Optimization of exclusive release policies for hydropower reservoir operation by using genetic algorithm by Tayebiyan, Aida, Mohammed Ali, Thamer Ahmed, Ghazali, Abdul Halim, Abdul Malek, Marlinda

“…Meanwhile, to determine the optimal operation of each policy, real coded genetic algorithm is applied as an optimization technique and maximizing the total power generation over the operational periods is chosen as an objective function. …”
Get full text
Get full text
Get full text

Optimization of Exclusive Release Policies for Hydropower Reservoir Operation by Using Genetic Algorithm by Tayebiyan A., Mohammed Ali T.A., Ghazali A.H., Malek M.A.

“…Algorithms; Genetic algorithms; Hydroelectric power; Optimal systems; Optimization; Scheduling; Water management; Water resources; Hydroelectric generation; Hydropower; Operational constraints; Optimization techniques; Real coded genetic algorithm; Reservoir operation; Reservoir performance; Waterresource management; Reservoirs (water); genetic algorithm; hydroelectric power; hydroelectric power plant; optimization; policy approach; power generation; reservoir; water management; water resource; Cameron Highlands; Malaysia; Pahang; West Malaysia…”

Optimizing the operation release policy using charged system search algorithm: A case study of klang gates dam, Malaysia by Latif S.D., Marhain S., Hossain M.S., Ahmed A.N., Sherif M., Sefelnasr A., El?shafie A.

“…algorithm; optimization; performance assessment; policy implementation; policy making; reservoir; water demand; water management; water planning; water resource; Malaysia…”

Optimization and selection of maintenance policies in an electrical gas turbine generator based on the hybrid reliability-centered maintenance (RCM) model by Alrifaey, Moath, Hong, Tang Sai, As'arry, Azizan, Supeni, Eris Elianddy, Ang, Chun Kit

“…Hence, in the present study, a hybrid RCM model was proposed to fill these gaps and find the optimal maintenance policies and scheduling by a combination of hybrid linguistic-failure mode and effect analysis (HL-FMEA), the co-evolutionary multi-objective particle swarm optimization (CMPSO) algorithm, an analytic network process (ANP), and developed maintenance decision tree (DMDT). …”
Get full text
Get full text
Get full text

A hybrid model of system dynamics and genetic algorithm to increase crude palm oil production in Malaysia by Mohd Zabid, M. Faeid

“…In this research, a hybrid model of system dynamics (SD) and genetic algorithm (GA) was developed to determine the optimal policy in increasing the CPO production in Malaysia. …”
Get full text
Get full text
Get full text
Get full text

Maximizing crude palm oil production in Malaysia: a search for an optimal policy using system dynamics and genetic algorithm approach by Zainal Abidin, Norhaslinda, Applanaidu, Shri Dewi, Faeid, Mohd Zabid M.

“…This study presents an integrated of system dynamics (SD) and genetic algorithm (GA) (SD-GA) model to find the optimal policy to improve CPO production in Malaysian palm oil industry. …”
Get full text
Get full text
Get full text

An optimization approach for a joint location inventory model considering quantity discount policy by Firoozi, Zahra, Tang, Sai Hong, Ariafar, Shahram, Mohd Ariffin, Mohd Khairol Anuar

“…The new model can be applied to both EOQ and quantity discount policies. An efficient two-stage heuristic algorithm is developed to solve the model. …”
Get full text
Get full text

Development of reliability-centered maintenance model using linguistic failure mode and effect analysis by Mohammed Ahmed Qaid, Alrifaey Moath

“…Then, a co-evolutionary multi-objective particle swarm optimization (CMPSO) algorithm was applied to handle multi-objective optimization problems and to find the solution sets. …”
Get full text
Get full text

Application of intelligent optimization techniques and investigating the effect of reservoir size in calibrating the reservoir operating policy by Hossain Md.S., El-Shafie A., Mohtar W.H.M.W.

“…In this study, we applied the most recently developed artificial bee colony (ABC) optimization technique in search of an optimal reservoir release policy. …”

A novel Master–Slave optimization algorithm for generating an optimal release policy in case of reservoir operation by Turgut, Mert Sinan, Turgut, Oguz Emrah, Afan, Haitham Abdulmohsin, El-Shafie, Ahmed

“…In addition, two different optimization algorithms, namely crow search algorithm and master–slave algorithm, have been introduced to generate an optimal rule for water release policy. …”
Get full text
Get full text

Optimization of operations of reservoir systems for hydropower generation in Tigris River Basin, Iraq by Al-Aqeel, Yousif Hashim Abdullah

“…A genetic algorithm optimization model (GAOM) was coded in the Matlab work environment to determine the optimal operating policy for a single reservoir to maximize the annual hydropower generation. …”
Get full text
Get full text

Assessment of Stochastic Operation Optimization for Reservoirs of Contrasting Scales by Celeste, Alcigeimes Batista, El-Shafie, Ahmed

“…Mathematical optimization algorithms can help in finding efficient reservoir operating strategies taking into account complex system constraints and hydrologic uncertainty. …”
Get full text
Get full text

System performances analysis of reservoir optimization�simulation model in application of artificial bee colony algorithm by Hossain M.S., El-Shafie A., Mahzabin M.S., Zawawi M.H.

Multi-population kidney-inspired algorithm with migration policy selections for feature selection problems by Najmeh Sadat Jaddi, Salwani Abdullah, Say leng goh, Mohd Zakree Ahmad Nazri, Zalinda Othman, Mohammad Kamrul Hasan, Fatemeh Alvankarian

“…The initial algorithm, coded as MultiPop-KA, implements a predetermined migration policy. …”
Get full text
Get full text
Get full text

A computationally efficient P-LRU based optimal cache heap object replacement policy by Khan, Burhan Ul Islam, Olanrewaju, Rashidah Funke, Mir, Roohie Naaz, Khan, Abdul Raouf, Yusoff, Siti Hajar

“…Therefore, a significant and thorough analysis is required to suggest a new optimal solution for optimizing the state-of-the-art cache replacement issues. …”
Get full text
Get full text
Get full text
Get full text

System performances analysis of reservoir optimization–simulation model in application of artificial bee colony algorithm by Hossain, Md Shabbir, El-Shafie, Ahmed, Mahzabin, Mst Sadia, Zawawi, Mohd Hafiz

“…Therefore, the study proposed the artificial bee colony (ABC) optimization technique to develop an optimal water release policy for the well-known Aswan High Dam, Egypt. …”
Get full text
Get full text

Optimized processing of satellite signal via evolutionary search algorithm by Hassan, Azmi, Othman, Rusli, Tang, Kieh Ming

“…This will take away the constraint resulted from the AS policy in processing the GPS satellites signal. The algorithm also shows its robustness because it does not require a good initial starting point. …”
Get full text
Get full text

An Integrated Model to Enhance the Transportation Methods in Malaysia: Review Paper by Ali, A. J. Adham, Khaled Abdul Rahman, Jomaa, Alsibai, Mohammed Hayyan

“…The results of this study will be reported and used to suggest and apply optimal transportation policies with the aim of providing useful insights on critical issues about the impact of such policies, and to help as a guide for the Malaysian decision makers to elaborate the optimal transportation policies.…”
Get full text
Get full text
Get full text

Development of location-inventory model based on all-unit quantity discount policy by Firoozi, Zahra

“…In order to solve the model, two heuristics and one enumeration algorithm are developed. It is shown that considering quantity discount instead of EOQ policy saves the total cost up to 4.5%. …”
Get full text
Get full text