Search Results - adaptive from different ((optimization algorithms) OR (optimization algorithm))

Heterogenous adaptive ant colony optimization with 3-opt local search for the travelling salesman problem by Tuani Ibrahim, Ahamed Fayeez, Keedwell, Edward, Collett, Matthew

“…However, it is well-known that parameters are problem-dependent as different problems or even different instances have different optimal parameter settings. …”
Get full text
Get full text
Get full text
Get full text

Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem by Anniza, Hamdan, San Nah, Sze, Say Leng, Goh, Kang Leng, Chiew, Wei King, Tiong

“…The adaptability of evolutionary algorithm mechanisms provides diverse approaches to handle combinatorial optimization challenges. …”
Get full text
Get full text
Get full text
Get full text

Adaptive route optimization for mobile robot navigation using evolutionary algorithm by Kit Guan Lim, Guan Lim, Yoong Hean Lee, Hean Lee, Min Keng Tan, Keng Tan, Hou, Pin Yoong, Tienlei, Wang, Tze, Kenneth Kin Teo

“…For example, Ant Colony Optimization (ACO) is an optimization algorithm based on swarm intelligence which is widely used to solve path planning problem. …”
Get full text
Get full text
Get full text
Get full text

Modified ACS centroid memory for data clustering by Jabbar, Ayad Mohammed, Ku-Mahamud, Ku Ruhana, Sagban, Rafid

“…Ant Colony Optimization (ACO) is a generic algorithm, which has been widely used in different application domains due to its simplicity and adaptiveness to different optimization problems. …”
Get full text
Get full text
Get full text

An Optimal Design of Moving Objects Tracking Algorithm on FPGA by Elkhatib, Lina, Hussin, Fawnizu Azmadi, Xia, Likun, Sebastian , Patrick

“…The system implements a large amount of operations in order to apply a tracking algorithm called Adaptive Hybrid Difference. Two core units were built to implement the algorithm on FPGA, the adaptive threshold unit and the binary image builder unit. …”
Get full text
Get full text

An optimal design of moving objects tracking algorithm on FPGA by Elkhatib, Lina Noaman, Hussin, Fawnizu Azmadi, Xia, Likun, Sebastian , Patrick

“…The system implements a large amount of operations in order to apply a tracking algorithm called Adaptive Hybrid Difference. Two core units were built to implement the algorithm on FPGA, the adaptive threshold unit and the binary image builder unit. …”
Get full text
Get full text
Get full text

Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems by Kek, Sie Long

“…This thesis describes the development of an efficient algorithm for solving nonlinear stochastic optimal control problems in discrete-time based on the principle of model-reality differences. …”
Get full text
Get full text

An optimal design of moving objects tracking algorithm on FPGA by Elkhatib, Lina, Hussin, Fawnizu Azmadi, Xia, Likun, Sebastian , Patrick

“…The system implements a large amount of operations in order to apply a tracking algorithm called Adaptive Hybrid Difference. Two core units were built to implement the algorithm on FPGA, the adaptive threshold unit and the binary image builder unit. …”
Get full text
Get full text
Get full text

Performance improvement for infiltration rate prediction using hybridized Adaptive Neuro-Fuzzy Inferences System (ANFIS) with optimization algorithms by Ehteram M., Yenn Teo F., Najah Ahmed A., Dashti Latif S., Feng Huang Y., Abozweita O., Al-Ansari N., El-Shafie A.

BBO algorithm-based tuning of PID controller for speed control of synchronous machine by Kasilingam G., Pasupuleti J.

Hybrid Henry gas solubility optimization algorithm with dynamic cluster-to-algorithm mapping by Kamal Z., Zamli, Kader, Md. Abdul, Azad, Saiful, Ahmed, Bestoun S.

“…Exploiting the dynamic cluster-to-algorithm mapping via penalized and reward model with adaptive switching factor, HHGSO offers a novel approach for meta-heuristic hybridization consisting of Jaya Algorithm, Sooty Tern Optimization Algorithm, Butterfly Optimization Algorithm, and Owl Search Algorithm, respectively. …”
Get full text
Get full text
Get full text

Dynamic parameterizations of particle swarm optimization and genetic algorithm for facility layout problem by Masrom, S., Abidin, S.Z.Z., Omar, N., Rahman, A.S.A., Rizman, Z.I.

“…In addition, the two algorithms have achieved a remarkable improvement from the adaption of dynamic parameterizations. …”
Get full text
Get full text

Adaptive Network Fuzzy Inference System (ANFIS) Handoff Algorithm by Kwong, Chiew Foong, Chuah, Teong Chee, Lee, Sze Wei

“…The fuzzy handoff algorithm proposed by earlier work is not optimized and required constant attention from the human experts. …”
Get full text
Get full text

Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection by Tubishat, Mohammad, Idris, Norisma, Shuib, Liyana, Abushariah, Mohammad A.M., Mirjalili, Seyedali

“…In addition, ISSA was compared with four well-known optimization algorithms such as Genetic Algorithm, Particle Swarm Optimization, Grasshopper Optimization Algorithm, and Ant Lion Optimizer. …”
Get full text
Get full text

Effectiveness of Nature-Inspired Algorithms using ANFIS for Blade Design Optimization and Wind Turbine Efficiency by Sarkar, Md Rasel, Julai, Sabariah, Chong, Wen Tong, Toha, Siti Fauziah

“…The predicted Cp using ANFIS-ABC also outperformed the ANFIS-ACO and ANFIS-PSO. The difference between optimized and predicted is very small which implies the effectiveness of nature-inspired algorithms in this application. …”
Get full text
Get full text

Effectiveness of nature-inspired algorithms using ANFIS for blade design optimization and wind turbine efficiency by Sarkar, Md. Rasel, Julai, Sabariah, Chong, Wen Tong, Toha @ Tohara, Siti Fauziah

“…The predicted Cp using ANFIS-ABC also outperformed the ANFIS-ACO and ANFIS-PSO. The difference between optimized and predicted is very small which implies the effectiveness of nature-inspired algorithms in this application. …”
Get full text
Get full text
Get full text
Get full text
Get full text

Performance evaluation of PID controller optimisation for wheel mobile robot using Bat based optimisation algorithm by ,, Dwi Pebrianti, Ann Ayop azmi, Nurnajmi Qasrina, Bayuaji, Luhur, Suarin, Nur Aisyah Syafinaz, ,, Muhammad Syafrullah

“…Three different optimization algorithms which are Bat Algorithm (BA), Bat Algorithm with Mutation (BAM) and Extended Bat Algorithm (EBA) are implemented to optimize the value of PID controller gain for wheel mobile robot. …”
Get full text
Get full text

SINE COSINE ALGORITHM BASED NEURAL NETWORK FOR RAINFALL DATA IMPUTATION by Chiu, Po Chan, Ali, Selamat, Kuok, King Kuok

“…This chapter presents the ability of the sine cosine algorithm-based neural network (SCANN) to predict and optimize missing rainfall at different percentages of missing rates. …”
Get full text
Get full text
Get full text

Quantum-based analytical techniques on the tackling of well placement optimization by Islam, J., Negash, B.M., Vasant, P.M., Hossain, N.I., Watada, J.

“…Furthermore, statistical analysis shows that there is no statistical difference between the performance of Quantum bat algorithm and Quantum Particle swarm optimization algorithm. …”
Get full text
Get full text

Quantum-based analytical techniques on the tackling of well placement optimization by Islam, J., Negash, B.M., Vasant, P.M., Hossain, N.I., Watada, J.

“…Furthermore, statistical analysis shows that there is no statistical difference between the performance of Quantum bat algorithm and Quantum Particle swarm optimization algorithm. …”
Get full text
Get full text