Search Results - (feed OR need)-((forward optimization) OR (factors optimization)) algorithm

POTENTIAL GROUPER FEED FORMULATION BASED ON EVOLUTIONARY ALGORITHM CONCEPT WITH A UNIQUE SELECTION OPERATOR by Soong, Cai Juan, Ramli, Razamin, Abd. Rahman, Rosshairy

“…The problems of insufficient wild catch grouper fish and the high demand in the market have increased the need of farming the grouper fish. In order to farm the grouper fish, there is a need to have abundant of trash fish as their feeds since grouper fish is a carnivorous fish. …”
Get full text
Get full text

Potential grouper feed formulation based on evolutionary algorithm concept with a unique selection operator by Soong, Chai Juan, Ramli, Razamin, Abd Rahman, Rosshairy

“…The problems of insufficient wild catch grouper fish and the high demand in the market have increased the need of farming the grouper fish.In order to farm the grouper fish, there is a need to have abundant of trash fish as their feeds since grouper fish is a carnivorous fish.But, trash fish is dramatically expensive and hard to store, hard to maintain the quality of nutrients as well as the quantity throughout the years.Therefore, turning to formulated feed mix is the alternative. …”
Get full text
Get full text
Get full text

A Standard Deviation Selection in Evolutionary Algorithm for Grouper Fish Feed Formulation by Soong, Cai Juan, Razamin, Ramli, Rosshairy, Abdul Rahman

“…In order to farm grouper fish, there is a need to have prior knowledge of the proper nutrients needed because there is no exact data available. …”
Get full text
Get full text
Get full text

Optimization of yeast fermentation process using genetic algorithm by Sin, Helen Ee Chuo, Yuh, Christine King Lo, Min, Keng Tan, Heng Jin Tham, Jin Tham, Sivakumar Kumaresan, Tze, Kenneth Kin Teo

“…The conventional open-loop feeding system is inadequate to minimize the growth of by-product as the system will not regulate the glucose feeding rate based on the instant needs. …”
Get full text
Get full text
Get full text
Get full text

A standard deviation selection in evolutionary algorithm for grouper fish feed formulation by Soong, Cai Juan, Ramli, Razamin, Abdul Rahman, Rosshairy

“…Malaysia is one of the major producer countries for fishery production due to its location in the equatorial environment.Grouper fish is one of the potential markets in contributing to the income of the country due to its desirable taste, high demand and high price.However, the demand of grouper fish is still insufficient from the wild catch.Therefore, there is a need to farm grouper fish to cater to the market demand.In order to farm grouper fish, there is a need to have prior knowledge of the proper nutrients needed because there is no exact data available.Therefore, in this study, primary data and secondary data are collected even though there is a limitation of related papers and 30 samples are investigated by using standard deviation selection in Evolutionary algorithm.Thus, this study would unlock frontiers for an extensive research in respect of grouper fish feed formulation.Results shown that the fitness of standard deviation selection in evolutionary algorithm is applicable.The feasible and low fitness, quick solution can be obtained. …”
Get full text
Get full text
Get full text

An Improved Evolutionary Algorithm in Formulating a Diet for Grouper by Cai-Juan, Soong, Abd Rahman, Rosshairy, Ramli, Razamin

“…This high demand leads to the insufficient supply of wild ocean grouper fish in the market, thus justifying the need for farmed or cultured grouper fish. Basically, in grouper fish farming, large amounts of trash fish are needed as the feed for grouper fish, which is the carnivorous type of fish. …”
Get full text
Get full text
Get full text

Investigating feed mix problem approaches: An overview and potential solution by Abd Rahman, Rosshairy, Chooi, Leng Ang, Ramli, Razamin

“…Hybrid GA technique with artificial bee algorithm is expected to reduce the penalty function and provide a better solution for the feed mix problem.…”
Get full text
Get full text
Get full text

Automated plant recognition system based on multi-objective parallel genetic algorithm and neural network by Sefidgar, Seyed Mohammad Hossein

“…First, the best set of structures for feed forward neural network were found by multi objective parallel genetic algorithm. …”
Get full text
Get full text

Optimisation of fed-batch fermentation process using deep reinforcement learning by Chai, Wan Ying

“…The performance of the proposed algorithm was compared with a pre-determined exponential feeding profile and a genetic algorithm. …”
Get full text
Get full text
Get full text

Grouper fish feed formulation using enhanced evolutionary algorithm with fibonacci rabbit initialization and binary-standard deviation tournament selection by Soong, Cai Juan

“…Due to that, the problems of insufficient wild-caught fish and the high market demand have driven the effort for fish farming, especially for grouper since its high commercial value. However, fish feed is costly, while the nutrients’ quality needs to be prioritized. …”
Get full text
Get full text
Get full text
Get full text

An Evolutionary Algorithm: An Enhancement of Binary Tournament Selection for Fish Feed Formulation by Soong, Cai Juan, Abd Rahman, Rosshairy, Ramli, Razamin, Abd Manaf, Mohammed Suhaimee, Chek-Choon, Ting

“…It is because grouper fish are carnivorous and need many trash fish for better growth. *e novelty of the proposed SD tournament selection is compared with BT selection in terms of searching for an efficient but not myopic algorithm. …”
Get full text
Get full text
Get full text
Get full text

Learning Algorithm effect on Multilayer Feed Forward Artificial Neural Network performance in image coding by Mahmoud, Omer, Anwar, Farhat, Salami, Momoh Jimoh Emiyoka

“…One of the essential factors that affect the performance of Artificial Neural Networks is the learning algorithm. The performance of Multilayer Feed Forward Artificial Neural Network performance in image compression using different learning algorithms is examined in this paper. …”
Get full text
Get full text
Get full text

A genetic algorithm for solving single level lotsizing problems by Zenon, Nasaruddin, Ahmad, Ab. Rahman, Ali, Rosmah

“…Thus, stochastically-based heuristics that have the mechanism to escape from local minimum are needed. In this paper a genetic algorithm for solving single level lot-sizing problems is proposed and the results of applying the algorithm toexample problems are discussed. …”
Get full text
Get full text

Energy cost optimization in high speed hard turning using simulated annealing algorithm by Al Hazza, Muataz Hazza Faizi, Adesta, Erry Yulian Triblas, Hassan, Muhammad Hasibul, Shaffiar, Norhashimah

“…Then, the Simulated Annealing Algorithm (SAA) has been used to optimize the cutting parameters. …”
Get full text
Get full text
Get full text

The classification of hunger behaviour of Lates Calcarifer through the integration of image processing technique and k-Nearest Neighbour learning algorithm by Taha, Zahari, Razman, Mohd Azraan, Abdul Ghani, Ahmad Shahrizan, P.P. Abdul Majeed, Anwar, Musa, Rabiu Muazu, A. Adnan, Fatihah, Sallehudin, Muhammad Firdaus, Mukai, Yukinori

“…The behaviour is clustered with respect to the position of the school size as well as the school density of the fish before feeding, during feeding and after feeding. The clustered fish behaviour is then classified through k-Nearest Neighbour (k-NN) learning algorithm. …”
Get full text
Get full text
Get full text
Get full text

Peningkatan halaju suapan maksimum penginterpolasi CNC dedenyut rujukan menggunakan pengaturcaraan selari by Ahmad Fakhri, Ab. Nasir

“…In other word, it means higher iteration speed corresponds to higher maximum allowable feed rate. To develop interpolator with higher maximum allowable feed rate, the proposed interpolator is aimed to execute the interpolator tasks in concurrent manner. …”
Get full text
Get full text

An enhanced feed-forward neural networks and a rule-based algorithm for predictive modelling of students' academic performance by Raheem, Ajiboye Adeleke

“…The implementation of the rule-based algorithm proposed in the second approach, shows outputs that are consistently accurate. …”
Get full text
Get full text

The classification of hunger behaviour of Lates Calcarifer through the integration of image processing technique and k-Nearest Neighbour learning algorithm by Zahari, Taha, M. A. M., Razman, Ahmad Shahrizan, Abdul Ghani, A. P. P., Abdul Majeed, R. M., Musa, F. A., Adnan, M. F., Sallehudin, Y., Mukai

“…The behaviour is clustered with respect to the position of the school size as well as the school density of the fish before feeding, during feeding and after feeding. The clustered fish behaviour is then classified through k-Nearest Neighbour (k-NN) learning algorithm. …”
Get full text
Get full text
Get full text

Removal of heavy metals from water by functionalized carbon nanotubes with deep eutectic solvents: An artificial neural network approach / Seef Saadi Fiyadh by Seef Saadi , Fiyadh

“…The best result achieved for Pb2+ removal using ANFIS algorithm is with RE 7.078%. For As3+ removal using different adsorbents, two algorithms were applied for the modelling, the feed-forward back-propagation maximum RE achieved is 5.97% while, the NARX algorithm achieved better accuracy with maximum RE of 5.79%. …”
Get full text
Get full text
Get full text

Shrimp feed formulation via evolutionary algorithm with power heuristics for handling constraints by Abd Rahman, Rosshairy, Kendall, Graham, Ramli, Razamin, Jamari, Zainoddin, Ku-Mahamud, Ku Ruhana

“…This paper proposes a new operator which we call Power Heuristics, as part of an Evolutionary Algorithm (EA), which acts as a constraint handling technique for the shrimp feed or diet formulation. …”
Get full text
Get full text
Get full text