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1
Gravitational search – bat algorithm for solving single and bi-objective of non-linear functions
Published 2018“…The gravitational search with BAT algorithm is used to balance exploitation and exploration, thereby resulting in efficient and effective (speed and accuracy) solution for the production planning model. …”
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2
An Experimental Study Of Combinational Logic Circuit Minimization Using Firefly Algorithm
Published 2014“…Combinatorial logic circuit minimization is usualy done using Karnaugh’s Map or Bolean equation. This paper presents an aplication of Firefly Algorithm to design combinational logic circuit in which the objective function is to minimize the total number of gates used. …”
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3
Hardware And Software Partitioning Using Genetic Algorithm In Image Processing Application
Published 2018“…The framework for HW-SW Partitioning using Genetic Algorithm (GA) is developed in MATLAB. …”
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4
Committee neural networks with fuzzy genetic algorithm.
Published 2011“…There are different ways of combining the intelligent systems' outputs in the combiner in the committee neural network, such as simple averaging, gating network, stacking, support vector machine, and genetic algorithm. …”
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5
Hybrid genetic algorithm for uncapacitated university examination timetabling problem
Published 2015“…All proposed algorithms are coded in C using Microsoft Visual C++ 6.0 as the compiler. …”
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6
Sizing optimization of large-scale grid connected photovoltaic system using dolphin echolocation algorithm / Muhammad Zakyizzuddin Rosselan
Published 2018“…Later, an Iterative-based Sizing Algorithm (ISA) was developed to determine the optimal sizing solution which was later used as benchmark for sizing algorithms using optimization methods. …”
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7
Enhancement of Ant System Algorithm for Course Timetabling Problem
Published 2009“…Results of the experiments that were conducted using various data sets showed that the proposed algorithm produced better course schedule solution than the Greedy Algorithm, Genetic Algorithm, and other variants of Ant System Algorithm.…”
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8
Network reconfiguration and control for loss reduction using genetic algorithm
Published 2010“…Two selection methods that are used in Genetic Algorithm are the roulette wheel and tournament selections. …”
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9
Comparison between Lamarckian Evolution and Baldwin Evolution of neural network
Published 2006“…Baldwinian learning uses learning algorithm to change the fitness landscape, but the solution that is found is not encoded back into genetic string. …”
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10
A New Hybrid Gravitational Search- Black Hole Algorithm
Published 2016“…This paper studies the solution of optimization problems using a new hybrid population-based algorithm. …”
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11
Combining approximation algorithm with genetic algorithm at the initial population for NP-complete problem
Published 2018“…We tested this approach by sampling the populations for some Set Covering Problems from OR Library using the randomized rounding method (AAR) and compared them with that sampled using a randomized heuristics (R) in terms of redundancy rate, diversity and closeness to the optimal solution (OPT). …”
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12
An Experimental Study Of Combinational Logic Circuit Minimization Using Firefly Algorithm
Published 2014“…Combinatorial logic circuit minimization is usually done using Karnaugh’s Map or Boolean equation. This paper presents an application of Firefly Algorithm to design combinational logic circuit in which the objective function is to minimize the total number of gates used. …”
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Conference or Workshop Item -
13
Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems
Published 2011“…Furthermore, the accuracy of the state estimate with the smallest state error covariance is enhanced by using the Kalman filtering theory. This enhancement produces the filtering solution by using the second sub-algorithm. …”
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14
A review: accuracy optimization in clustering ensembles using genetic algorithms
Published 2011“…The clustering ensemble has emerged as a prominent method for improving robustness, stability, and accuracy of unsupervised classification solutions. It combines multiple partitions generated by different clustering algorithms into a single clustering solution. …”
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15
Enhanced Algorithms By Combining Gauss-Seidel And Newton-Raphson In Load Flow Analysis
Published 2017“…Traditional load flow solution methods like Newton-Raphson has a great convergence characteristics with regards to its number of iterations and computing time, but suffers from poor convergence when used to solve ill-conditioned networks or if the starting initial values are far from solution. …”
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Monograph -
16
Hybrid tabu search – strawberry algorithm for multidimensional knapsack problem
Published 2022“…Multidimensional Knapsack Problem (MKP) has been widely used to model real-life combinatorial problems. It is also used extensively in experiments to test the performances of metaheuristic algorithms and their hybrids. …”
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17
Solving multi-objective dynamic vehicle routing problem with time windows using multi-objective algorithm
Published 2022“…We compare our results using hypothetical datasets and real datasets. Our results are competitive and outperform other published algorithms and best-known solutions in both static and dynamic environments.…”
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Final Year Project / Dissertation / Thesis -
18
An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm
Published 2016“…To simplify the programming, objective of economic dispatch (ED) and emission dispatch (EmD) are combined into a single function by price penalty factor and analysed using weighted sum method to choose the best compromising result. …”
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19
Multi-Objectives Memetic Discrete Differential Evolution Algorithm for Solving the Container Pre-Marshalling Problem
Published 2019“…This demonstrates that using the multi-objectives approach with a combination of the Discrete Differential Evolution mutation and the Memetic Algorithm evolutionary is a suitable approach for solving multi-objectives CPMP.…”
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20
On the spectra efficiency of low-complexity and resolution hybrid precoding and combining transceivers for mmWave MIMO systems
Published 2019“…One promising solution is to employ the use of low-resolution phase shifters. …”
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