Search Results - (( exploring concept function algorithm ) OR ( java application customization algorithm ))
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1
Algorithm in the fluidized-bed reactor for the polymerization of propylene
Published 2019“…The proposed algorithm is designed by improving the exploration knowledge of onlooker bee from meta-heuristic concept in search space. …”
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2
Midrange exploration exploitation searching particle swarm optimization with HSV-template matching for crowded environment object tracking
Published 2023“…In this algorithm, the worst particle will be relocating to a new position to ensure the concept of exploration and exploitation remains in the search space. …”
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3
Opposition-based spiral dynamic algorithm with an application to optimize type-2 fuzzy control for an inverted pendulum system
Published 2022“…Spiral Dynamic Algorithm (SDA) is a group-based optimization algorithm formulated based on the concept of a natural spiral phenomenon on earth. …”
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4
Exploration of educational building with cultural elements using shape grammar
Published 2013“…This research explores the application of shape grammars in generating educational building designs with cultural, functional and artistic issues. …”
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Undergraduates Project Papers -
5
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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6
Nomadic people optimizer (NPO) for large-scale optimization problems
Published 2019“…A metaheuristic is defined as an iterative generation process which guides a subordinate heuristic through a combination of different intelligent concepts for exploring and exploiting the solution space; they employ learning strategies to structure information in order to establish efficient near-optimal solutions. …”
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Enhancing simulated kalman filter algorithm using current optimum opposition-based learning
Published 2019“…By employing this concept, more potential agents are generated to explore more promising regions that exist in the solution domain. …”
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9
A Method for Mapping XML DTD to Relational Schemas In The Presence Of Functional Dependencies
Published 2008“…To approach the mapping problem, three different components are explored: the mapping algorithm, functional dependency for XML, and implication process. …”
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10
Comparison between Lamarckian Evolution and Baldwin Evolution of neural network
Published 2006“…Hybrid genetic algorithms are the combination of learning algorithms(Back propagation), usually working as evaluation functions, and genetic algorithms. …”
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11
An improved sine cosine algorithm for solving optimization problems
Published 2018“…The main concept is to introduce a nonlinear control strategy to the existing SCA’s exploration and exploitation process in order to synthesize the algorithm’s strength. …”
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Conference or Workshop Item -
12
Opposition- based simulated kalman filters and their application in system identification
Published 2017“…By employing this concept, more potential agents are generated to explore more promising regions that exist in the solution domain. …”
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13
Enhancing harmony search parameters based on step and linear function for bus driver scheduling and rostering problems
Published 2018“…Therefore,it is of great interest that we find adjustments for these parameters in this research.There are two contributions to this research.The first one is having HMCR parameter using step function and the linear increase function while the second is applying the fret spacing concept on guitars that is associated with mathematical formulae is also applied in the BW parameter.There are three proposed models on the alteration of HMCR parameters based on the use of the fundamental step function;namely,the constant interval of step function, and its dynamic increase and decrease interval functions.The experimental results revealed that our proposed approach is superior to other state of the art harmony searches either in specific or generic cases. …”
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14
Optimization of multi-holes drilling toolpath using tiki-taka algorithm
Published 2024“…The research methodology involves problem modeling, algorithm development, and validation. The TSP concept formulated the MDMT problem, representing holes as cities and tools as a salesman in finding the shortest path to develop a mathematical model or fitness function. …”
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15
An efficient model for indoor radio signal prediction and coverage estimation / Md. Sumon Sarker
Published 2011“…Moreover, it is also revealed that the proposed coverage algorithm is capable of reducing the computation time as high as 99% because of strong bounding functions as well as the concept of magnificent coverage pattern.…”
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16
Modified Parameters of Harmony Search Algorithm for Better Searching
Published 2017“…The contributions to this research are the HMCR parameter using step function while the fret spacing concept on guitars that is associated with mathematical formulae is also applied in the BW parameter. …”
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Conference or Workshop Item -
17
Adaptable algorithms for performance optimization of dynamic batch manufacturing processes
Published 2018“…This thesis investigates different approaches of integrating hybrid adaptable intelligent algorithms to accommodate the concept of precision optimization via simulated models of industry-scale and pilot-scale. …”
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Comparative study of optimal power flow using evolutionary programming and immune evolutionary programming technique in power system / Mohd Khairil Izwan Md Daim
Published 2006“…The study explores two functions namely total loss minimization and total cost minimization as the objective fimction. …”
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Reinforcement learning-based target tracking for unmanned aerial vehicle with achievement rewarding and multistage traning
Published 2022“…In this thesis, the Twin Delayed Deep Deterministic Policy Gradient Algorithm (TD3), as one recent and composite architecture of reinforcement learning (RL), has been explored as a tracking agent for the problem of UAV-based target tracking. …”
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20
Hybrid binary grey Wolf with Harris hawks optimizer for feature selection
Published 2021“…Balancing exploration and exploitation in a good manner will improve the search algorithm's performance. …”
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