Search Results - (( exploring best function algorithm ) OR ( java application optimisation algorithm ))
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1
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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2
PSO-LFDE Algorithm on Constrained Real-Parameter Optimisation Test Functions
Published 2023“…The proposed algorithm will hold a better exploration–exploitation equilibrium if the contributions of convergence and diversity and global and individual bests in attracting particles are maintained in balance. …”
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Nomadic people optimizer (NPO) for large-scale optimization problems
Published 2019“…The basic component of the algorithm consists of several clans and each clan searches for the best place (or best solution) based on the position of their leader. …”
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Performance Enhancement Of Artificial Bee Colony Optimization Algorithm
Published 2013“…To overcome the problems, this research work has proposed few modified and new ABC variants; Gbest Influenced-Random ABC (GRABC) algorithm systematically exploits two different mutation equations for appropriate exploration and exploitation of search-space, Multiple Gbest-guided ABC (MBABC) algorithm enhances the capability of locating global optimum by exploiting so-far-found multiple best regions of a search-space, Enhanced ABC (EABC) algorithm speeds up exploration for optimal-solutions based on the best so-far-found region of a search-space and Enhanced Probability-Selection ABC (EPS-ABC) algorithm, a modified version of the Probability-Selection ABC algorithm, simultaneously capitalizes on three different mutation equations for determining the global-optimum. …”
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5
An experimental study of modified black hole algorithms
Published 2018“…In BH algorithm, an agent with the best solution forms a black hole. …”
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6
Improved cuckoo search based neural network learning algorithms for data classification
Published 2014“…In the proposed HACPSO algorithm, initially accelerated particle swarm optimization (APSO) algorithm searches within the search space and finds the best sub-search space, and then the CS selects the best nest by traversing the sub-search space. …”
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7
Vibrant search mechanism for numerical optimization functions
Published 2018“…In 100 problem dimensions, 100% and 25% of the best results are reported for non-shifted and shifted functions, respectively. …”
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Development Of Artificial Bee Colony (Abc) Variants And Memetic Optimization Algorithms
Published 2017“…The best-performed modified ABC variants and memetic ABC algorithms are identified. …”
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9
A comparative study on testing optimization techniques with combinatorial interaction testing for optimizing software product line testing
Published 2025“…Results show the best optimization algorithm is the Genetic Algorithm and the optimum interaction strength is t=5. …”
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10
Solving large-scale problems using multi-swarm particle swarm approach
Published 2018“…The proposed algorithm was tested on several test functions, with four different number of dimensions (100, 500, and 1000) it was evaluated in terms of performance efficiency and compared to standard PSO (SPSO), and mastersalve PSO algorithm. …”
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Improving particle swarm optimization via adaptive switching asynchronous – synchronous update
Published 2018“…The iteration strategy in Switch-PSO is adaptively switched between the two traditional iteration strategies according to the performance of the swarm's best member. The performance of Switch-PSO is compared with existing S-PSO, A-PSO and three state-of-the-art PSO algorithms using CEC2014's benchmark functions. …”
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13
A new algorithm for normal and large-scale optimization problems: Nomadic People Optimizer
Published 2019“…The algorithm is validated based on 36 unconstrained benchmark functions. …”
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A hyper-heuristic based strategy for image segmentation using multilevel thresholding
Published 2025“…Experimental results of the proposed strategy are compared with other advanced meta-heuristic algorithms using the Otsu and Kapur fitness functions. …”
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15
Improved flower pollination optimization algorithm based on swap operator and dynamic switch probability selection
Published 2023“…The performance of the proposed algorithm (IFPDSO-PS) has been evaluated on seventeen standard test functions and compared with the stated metaheuristic algorithms. …”
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16
The effect of job satisfaction on the relationship between organizational culture and organizational performance
Published 2023“…The performance of the proposed algorithm (IFPDSO-PS) has been evaluated on seventeen standard test functions and compared with the stated metaheuristic algorithms. …”
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An improved artificial bee colony algorithm for training multilayer perceptron in time series prediction
Published 2014“…Most of the training algorithms focus on weight values, activation functions, and network structures for providing optimal outputs. …”
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Novel Multi-swarm Approach for Balancing Exploration and Exploitation in Particle Swarm Optimization
Published 2019“…These algorithms have two major components, which are exploration and exploitation. …”
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19
A Kalman-Filter-Based Sine-Cosine Algorithm
Published 2019“…A solution that has a lower cost function is considered as the best solution. The algorithm is tested with various benchmark functions and compared with the original SCA algorithm. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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