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[PDF] Top 20 An Improved Bees Algorithm for Real Parameter Optimization

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An Improved Bees Algorithm for Real Parameter Optimization

An Improved Bees Algorithm for Real Parameter Optimization

... scout bees foraging for new food sources on the global scale [10, ...propose an improved version of BA called Patch-Levy-based Bees Algorithm ...search algorithm that models Levy ... See full document

17

AN OPTIMIZATION ALGORITHM BASED ON BACTERIA BEHAVIOR

AN OPTIMIZATION ALGORITHM BASED ON BACTERIA BEHAVIOR

... of an effective local search procedure to improve previous ...[17] an improved ACO is presented to solve the ...Honey Bees Mating ...four improved genetic algorithms using three local ... See full document

12

AN IMPROVED TEACHING-LEARNING BASED OPTIMIZATION APPROACH FOR FUZZY CLUSTERING

AN IMPROVED TEACHING-LEARNING BASED OPTIMIZATION APPROACH FOR FUZZY CLUSTERING

... the optimization problem as minimizing overall deviation of a partitioning or maximize compactness inside the ...mean algorithm; ...TLBO algorithm does not require any algorithm-specific ... See full document

8

Reactive Power Optimization with Chaotic Firefly Algorithm and Particle Swarm Optimization in A Distribution Subsystem Network

Reactive Power Optimization with Chaotic Firefly Algorithm and Particle Swarm Optimization in A Distribution Subsystem Network

... swarm optimization. In paper [22], an improved particle swarm optimization algorithm based on multi- agent technology has been proposed to solve a reactive power optimization ... See full document

8

Differential Evolution Enhanced with Eager Random Search for Solving Real-Parameter Optimization Problems

Differential Evolution Enhanced with Eager Random Search for Solving Real-Parameter Optimization Problems

... finding improved ones. The formal procedure of ERS is given in Algorithm 2, where α denotes the portion of variables that are subject to local changes and M is the maximum number of times a trial solution ... See full document

9

Photoacoustic-based thermal image formation and optimization using an evolutionary genetic algorithm

Photoacoustic-based thermal image formation and optimization using an evolutionary genetic algorithm

... For improved efficiency and security in heat application during hyperthermia, it is important to monitor tissue temperature during ...as an imaging technique to monitor temperature during ... See full document

10

AN IMPROVED CLUSTERING ALGORITHM FOR CUSTOMER SEGMENTATION

AN IMPROVED CLUSTERING ALGORITHM FOR CUSTOMER SEGMENTATION

... Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Artificial Bee Colony ...to an optimal solution and has stability issues. SOM is an unsupervised neural network learning ...is ... See full document

8

An Optimal Scheduling Algorithm for Real Time Applications in Grid System

An Optimal Scheduling Algorithm for Real Time Applications in Grid System

... called real-time systems. Examples of current real-time systems range from very simple micro controllers in embedded systems to highly sophisticated and complex systems such as air traffic control and ... See full document

6

IMPROVED VARIABLE STEP SIZE INCREMENTAL CONDUCTANCE MPPT METHOD WITH HIGH CONVERGENCE SPEED FOR PV SYSTEMS

IMPROVED VARIABLE STEP SIZE INCREMENTAL CONDUCTANCE MPPT METHOD WITH HIGH CONVERGENCE SPEED FOR PV SYSTEMS

... MPPT algorithm usually has a fixed iteration step size [9], determined by the requirements of the accuracy at steady state and the response speed of the ... See full document

13

Using the Firefly optimization method to weight an ensemble of rainfall forecasts from the Brazilian developments on the Regional Atmospheric Modeling System (BRAMS)

Using the Firefly optimization method to weight an ensemble of rainfall forecasts from the Brazilian developments on the Regional Atmospheric Modeling System (BRAMS)

... consider an optimization problem applying the metaheuristic Firefly algorithm (FY) to weight an ensemble of rainfall forecasts from daily precipitation simulations with the Brazilian ... See full document

14

A new fuzzy algorithm for ecological ranking

A new fuzzy algorithm for ecological ranking

... fuzzy algorithm, FuzRnk introduces two modifications: a) criteria can be weighted on the basis of their importance, b) not only the best performances, but also the worst ones are considered in the ranking ... See full document

3

VLSI PARTITIONING ALGORITHM WITH ADAPTIVE CONTROL PARAMETER

VLSI PARTITIONING ALGORITHM WITH ADAPTIVE CONTROL PARAMETER

... Proceedings of the 11th European conference on Evolutionary computation in combinatorial optimization. Modifications and additions to ant colony optimization to solve the set partitionin[r] ... See full document

5

On the Solutions to the Travelling Salesman Problem using Nature Inspired Computing Techniques

On the Solutions to the Travelling Salesman Problem using Nature Inspired Computing Techniques

... colony optimization [7], bee colony optimization [18], particle swarm optimization [13], DNA computing [2] electromagnetism-like optimization [3] intelligent water drops [20] ...colony ... See full document

9

An improved PSO algorithm for generating protective SNP barcodes in breast cancer.

An improved PSO algorithm for generating protective SNP barcodes in breast cancer.

... Some SNPs may display different impacts on the protection of breast cancer in terms of the individual SNPs or the combinational SNPs. For example, some individual SNPs such as SNPs 3 and 9 are not significantly ... See full document

9

Application of an iterative method and an evolutionary algorithm in fuzzy optimization

Application of an iterative method and an evolutionary algorithm in fuzzy optimization

... However, there are ambiguous and uncertain data in real-world optimization problems. In recent years, Theory of Fuzzy Sets (Zadeh, 1965) has shown great potential for modeling systems, which are non-linear, ... See full document

15

AerGOM, an improved algorithm for stratospheric aerosol extinction
retrieval from GOMOS observations – Part 1: Algorithm description

AerGOM, an improved algorithm for stratospheric aerosol extinction retrieval from GOMOS observations – Part 1: Algorithm description

... retrieval algorithm together with the first data version ...AerGOM algorithm differs from the standard GOMOS IPF processor in a number of important ways: more accurate physical laws have been implemented, ... See full document

14

A virtual infection model quantifies innate effector mechanisms and Candida albicans immune escape in human blood.

A virtual infection model quantifies innate effector mechanisms and Candida albicans immune escape in human blood.

... A priori unknown transition rates between any two states could be estimated by fitting the simulation results to the experimental data using the Monte Carlo method of simulated annealing. This procedure enabled us to ... See full document

15

Adaptive firefly algorithm: parameter analysis and its application.

Adaptive firefly algorithm: parameter analysis and its application.

... [24] was used to solve the PSP in simplified models. Also based on simple protein models, Islam and Chetty employed memetic algorithm (MA) with several features to accomplish the structure prediction [25]. One ... See full document

12

An improved population migration algorithm introducing the local search mechanism of the leap-frog algorithm and crossover operator.

An improved population migration algorithm introducing the local search mechanism of the leap-frog algorithm and crossover operator.

... The implementation process of SFLA simulates the feeding behavior of a group of frogs in a wetland [10]. In the feeding process, every frog can be seen as the carrier of ideas and information. Frogs can communicate ... See full document

6

Seismic Denoising Through Improved Algorithm  Curvelet Transform

Seismic Denoising Through Improved Algorithm Curvelet Transform

... through improved curvelet ...as an improvement over wavelet ...the improved curvelet transform can achieve an almost complete data reconstruction and give comparatively high PSNR which cannot ... See full document

7

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