Search Results - (( its application ((a algorithm) OR (new algorithm)) ) OR ( _ application search algorithm ))*
Search alternatives:
- application search »
- new algorithm »
- a algorithm »
-
1
Comprehensive review of the development of the harmony search algorithm and its applications
Published 2019“…This paper presents a comprehensive overview of the development of the harmony search (HS) algorithm and its applications. …”
Get full text
Get full text
Get full text
Article -
2
New Fast Block Matching Algorithm Using New Hybrid Search Pattern And Strategy To Improve Motion Estimation Process In Video Coding Technique
Published 2016“…These 6 algorithms are divided into 3 main methods namely Method A, Method B, and Method C depending on their search patterns and strategies. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
3
-
4
A harmony search algorithm for university course timetabli
Published 2012Get full text
Get full text
Get full text
Article -
5
-
6
Data clustering using the bees algorithm
Published 2007Get full text
Get full text
Conference or Workshop Item -
7
Synchronous gravitational search algorithm vs asynchronous gravitational search algorithm: a statistical analysis
Published 2014Get full text
Get full text
Conference or Workshop Item -
8
-
9
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. …”
Get full text
Get full text
Thesis -
10
-
11
-
12
Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem
Published 2008“…Genetic Algorithm gives a pool of solutions rather than just one. …”
Get full text
Get full text
Monograph -
13
-
14
Modified ACS centroid memory for data clustering
Published 2019“…Ant Colony Optimization (ACO) is a generic algorithm, which has been widely used in different application domains due to its simplicity and adaptiveness to different optimization problems. …”
Get full text
Get full text
Get full text
Article -
15
A study on an extended Prey-Predator algorithm
Published 2015Get full text
Get full text
Get full text
Article -
16
Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection
Published 2020“…The first improvement includes the use of Opposition Based Learning (OBL) at initialization phase of SSA to improve its population diversity in the search space. The second improvement includes the development and use of new Local Search Algorithm with SSA to improve its exploitation. …”
Get full text
Get full text
Article -
17
Latin hypercube sampling Jaya algorithm based strategy for T-way test suite generation
Published 2020Get full text
Get full text
Get full text
Conference or Workshop Item -
18
Effect of chaos noise on the learning ability of back propagation algorithm in feed forward neural network
Published 2010Get full text
Working Paper -
19
Enhanced Harris's Hawk algorithm for continuous multi-objective optimization problems
Published 2020“…This indicates the capability of the algorithm in exploring the search space. The 2S-ENDSHHMO algorithm can be used to improve the search process of other MOSI-based algorithms and can be applied to solve MOPs in applications such as structural design and signal processing.…”
Get full text
Get full text
Get full text
Get full text
Thesis -
20
Advances of metaheuristic algorithms in training neural networks for industrial applications
Published 2023“…Backpropagation; Gradient methods; Neural networks; Artificial neural network models; Complex applications; Exploration and exploitation; Gradient-based learning; Industry applications; Meta heuristic algorithm; Meta-heuristic search algorithms; Near-optimal solutions; Optimization…”
Article
