Search Results - (( parameter iteration search algorithm ) OR ( java simulation optimization algorithm ))

An adaptively switching iteration strategy for population based metaheuristics / Nor Azlina Ab. Aziz by Nor Azlina, Ab. Aziz

“…Experiments conducted using three parent algorithms namely particle swarm optimization (PSO), which is a popular population-based optimizer with population and individual memories, gravitational search algorithm (GSA), a memoryless young optimizer, and simulated Kalman filter (SKF), a newly introduced optimization algorithm that use population’s memory to guide an agent’s search, show that iteration strategy is an algorithm dependent parameter as well as function dependent. …”
Get full text
Get full text
Get full text

Firefly photinus search algorithm by Alomoush, Waleed, Omar, Khairuddin, Alrosan, Ayat, Alomari, Yazan M., Albashish, Dheeb, Almomani, Ammar

Hybrid of firefly algorithm and pattern search for solving optimization problems by Wahid, Fazli, Ghazali, Rozaida

“…The pattern search is an optimization algorithm that further optimizes the values obtained in the maximum iterations of standard FA. …”
Get full text
Get full text

Hyperdize Jaya Algorithm for Harmony Search Algorithm's Parameters Selection by Alaa A., Al-Omoush, Al-Sewari, Abdul Rahman Ahmed Mohammed, Ameen, Bahomaid, Alamri, Hammoudeh S., Kamal Z., Zamli

“…This paper present a successful method to tune the parameters of the harmony search algorithm, which is a well-known meta-heuristic algorithm. …”
Get full text
Get full text
Get full text

Finite impulse response optimizers for solving optimization problems by Tasiransurini, Ab Rahman

“…Meanwhile, MAFIRO differs from AFIRO in terms of the iteration search strategy. These three algorithms are called in short as FIR optimizers (FIROs). …”
Get full text
Get full text

Finite impulse response optimizers for solving optimization problems by Ab Rahman, Tasiransurini

“…Meanwhile, MAFIRO differs from AFIRO in terms of the iteration search strategy. These three algorithms are called in short as FIR optimizers (FIROs). …”
Get full text
Get full text

Implementation Analysis of Cuckoo Search for The Benchmark Rosenbrock and Levy Test Functions by Odili, Julius Beneoluchi

“…This paper presents the implementation analysis of the benchmark Rosenbrock and Levy test functions using the Cuckoo Search with emphasis on the effect of the search population and iterations count in the algorithms search processes. …”
Get full text
Get full text

Modelling of multi-robot system for search and rescue by Poy, Yi Ler

“…Unlike the normal PSO algorithm which initializes the particle swarm at the robot’s starting position and iteratively determining each waypoint until a completed path is generated, MPSO algorithm initializes the particle swarm within a predefined search space and searches for the global best position within it to determine a specific robot waypoint through iteration updates. …”
Get full text
Get full text

Local search manoeuvres recruitment in the bees algorithm by Muhamad, Zaidi, Mahmuddin, Massudi, Nasrudin, Mohammad Faidzul, Sahran, Shahnorbanun

“…Swarm intelligence of honey bees had motivated many bioinspired based optimisation techniques. The Bees Algorithm (BA) was created specifically by mimicking the foraging behavior of foraging bees in searching for food sources.During the searching, the original BA ignores the possibilities of the recruits being lost during the flying.The BA algorithm can become closer to the nature foraging behavior of bees by taking account of this phenomenon.This paper proposes an enhanced BA which adds a neighbourhood search parameter which we called as the Local Search Manoeuvres (LSM) recruitment factor.The parameter controls the possibilities of a bee extends its neighbourhood searching area in certain direction.The aim of LSM recruitment is to decrease the number of searching iteration in solving optimization problems that have high dimensions.The experiment results on several benchmark functions show that the BA with LSM performs better compared to the one with basic recruitment.…”
Get full text
Get full text
Get full text

Urban transit frequency setting using Multiple Tabu Search with parameter control by Uvaraja, Vikneswary, Lee, Lai Soon

“…The chosen parameter gives considerable effect on the objective functions compared to other parameters such as the size of tabu list and the number of iterations. …”
Get full text
Get full text
Get full text

Bouc-Wen hysteresis parameter optimization for magnetorheological damper using Cuckoo search algorithm by Rosmazi, Rosli, Zamri, Mohamed, G., Priyandoko, M. F. F., Ab Rashid

“…This paper proposed an optimized Phenomenological Bouc-Wen model for MR damper. Cuckoo search algorithm is used to optimize the parameters in phenomenological Bouc-Wen model. …”
Get full text
Get full text
Get full text

Implementation analysis of cuckoo search for the benchmark rosenbrock and levy test functions by Odili, Julius Beneoluchi

“…This paper presents the implementation analysis of the benchmark Rosenbrock and Levy test functions using the Cuckoo Search with emphasis on the effect of the search population and iterations count in the algorithm’s search processes. …”
Get full text
Get full text
Get full text

A hybrid adaptive harmony search with modified great deluge algorithm for school timetabling by Arbaoui, Billel

“…Phase 2 adaptively tunes parameters based on iteration position, solution number, behavioral status, and parameter linkages. …”
Get full text
Get full text

Reactive approach for automating exploration and exploitation in ant colony optimization by Allwawi, Rafid Sagban Abbood

“…RACO can be used in providing a dynamic exploration and exploitation mechanism, setting a parameter value which allows an efficient search, describing the amount of exploration an ACO algorithm performs and detecting stagnation situations.…”
Get full text
Get full text
Get full text

Comparison of several improved versions of particle swarm optimizer algorithm for parameter estimation of squirrel-cage induction motors / Mohammad Yazdani-Asrami, Mehran Taghipour... by Gorjikolaie, Mehran Taghipour, Gholamian, S. Asghar

Get full text
Get full text

Optimization of modified Bouc–Wen model for magnetorheological damper using modified cuckoo search algorithm by Rosmazi, Rosli, Zamri, Mohamed

“…The final value of the fitness function and the iteration number it took to converge were used as the qualifying indicator to the proposed cuckoo search algorithm efficiency. …”
Get full text
Get full text
Get full text

Implementation evaluation of Cuckoo search for the benchmark Rosenbrock test function by Odili, Julius Beneoluchi, Awanis, Romli

“…This paper presents the implementation evaluation of the benchmark Rosenbrock test function with particular emphasis on the effect of the search population and iterations count in the Cuckoo Search algorithm's quest for good solutions. …”
Get full text
Get full text
Get full text
Get full text

Master-leader-slave cuckoo search with parameter control for ANN optimization and its real-world application to water quality prediction by Jaddi N.S., Abdullah S., Malek M.A.

African Buffalo Optimization Algorithm for Tuning Parameters of a PID Controller in Automatic Voltage Regulators by Odili, Julius Beneoluchi, M. N. M., Kahar, Noraziah, Ahmad

“…The highpoints of the ABO include its use of few parameters, constant interactions among the buffalos and the deployment of the exploration and exploitations mechanisms of the algorithm in every iteration. …”
Get full text
Get full text
Get full text

The effect of GA parameters on the performance of GA-based QoS routing algorithm by Yussof S., See O.H.

“…Genetic algorithm (GA) is a powerful search and optimization algorithm inspired by the theory of genetics and natural selection. …”