• No results found

[PDF] Top 20 A LITERATURE BASED SURVEY ON SWARM INTELLIGENCE INSPIRED OPTIMIZATION TECHNIQUE

Has 10000 "A LITERATURE BASED SURVEY ON SWARM INTELLIGENCE INSPIRED OPTIMIZATION TECHNIQUE" found on our website. Below are the top 20 most common "A LITERATURE BASED SURVEY ON SWARM INTELLIGENCE INSPIRED OPTIMIZATION TECHNIQUE".

A LITERATURE BASED SURVEY ON SWARM INTELLIGENCE INSPIRED OPTIMIZATION TECHNIQUE

A LITERATURE BASED SURVEY ON SWARM INTELLIGENCE INSPIRED OPTIMIZATION TECHNIQUE

... 457 | P a g e the food sources by tracing pheromone trails Then, ants choose the path to follow by a probabilistic decision biased by the amount of pheromone: the stronger the pheromone trail, the higher its ... See full document

14

Swarm Intelligence Optimization: Editorial Survey

Swarm Intelligence Optimization: Editorial Survey

... computational intelligence based techniques that is not largely affected by the size and nonlinearity of the problem, and can converge to the optimal solution in many problems were most analytical methods ... See full document

14

Rule Discovery for Binary Classification Problem using ACO based Antminer

Rule Discovery for Binary Classification Problem using ACO based Antminer

... mining technique that assigns items to a predefined categories or classes or ...biology inspired algorithms such as Genetic Algorithms (GA) and Swarm based approaches like Particle ... See full document

5

Swarm Intelligence Based Feature Selection for High Dimensional Classification: A Literature Survey

Swarm Intelligence Based Feature Selection for High Dimensional Classification: A Literature Survey

... instances based on related ...selection technique improves the performance of large dimensionality dataset in terms of evaluation measures such as accuracy, stability, and ...of swarm ... See full document

15

NATURE-INSPIRED TECHNIQUES FOR OPTIMIZATION: A BRIEF REVIEW

NATURE-INSPIRED TECHNIQUES FOR OPTIMIZATION: A BRIEF REVIEW

... Nature inspired techniques like swarm intelligence, bio-inspired, physics/chemistry and many more have helped in solving difficult problems and also provide most favourable ...Nature ... See full document

9

An Analytical Study of the Remote Sensing Image Classification Using Swarm Intelligence Techniques

An Analytical Study of the Remote Sensing Image Classification Using Swarm Intelligence Techniques

... nature inspired computation techniques well famous by “Swarm ...Intelligence”. Swarm Intelligence (SI), which is an artificial intelligence (AI) discipline, is concerned with the ... See full document

9

Energy Efficient Target Coverage in Wireless Visual Sensor Networks

Energy Efficient Target Coverage in Wireless Visual Sensor Networks

... particle swarm optimization (PSO), a well-known global optimization technique that is widely used in literature and has been already applied to camera planning problems, as well as ... See full document

7

Artificial Bee Colony algorithm using Structured Swarm

Artificial Bee Colony algorithm using Structured Swarm

... Abstract: Swarm Intelligence is a meta-heuristic approach in the field of nature inspired techniques that is used to solve optimization ...is based on the collective behaviour of social ... See full document

7

Survey on Swarm Intelligence Based Optimization Technique for Image Compression

Survey on Swarm Intelligence Based Optimization Technique for Image Compression

... the optimization techniques used for image ...are based on Swarm intelligence. Swarm Intelligence is based on the collective behaviour of self-organized, decentralized, ... See full document

6

Comparative Analysis Of Swarm Intelligence Optimization Techniques For Cloud Scheduling

Comparative Analysis Of Swarm Intelligence Optimization Techniques For Cloud Scheduling

... on swarm intelligence. Particle swarm optimization (PSO) is a population based optimization technique developed by ...1995, inspired by social behaviour of bird ... See full document

5

A COMPARATIVE STUDY OF ECONOMIC LOAD DISPATCH BY USING GA AND PSO

A COMPARATIVE STUDY OF ECONOMIC LOAD DISPATCH BY USING GA AND PSO

... conventional optimization techniques such as lambda iteration method, linear & quadratic programming, have been successfully used to solve power system optimization problem such as unit-commitment and ... See full document

14

A SURVEY ON SWARM INTELLIGENCE MODELS

A SURVEY ON SWARM INTELLIGENCE MODELS

... characteristic swarm frameworks to the field of Artificial ..."Swarm Intelligence" was initially presented by ...automated swarm [5]. In 1991, Ant Colony Optimization (ACO) [6] ... See full document

12

Elephant Herding Optimization for Energy-Based Localization

Elephant Herding Optimization for Energy-Based Localization

... In this work, a new approach for the energy-based positioning problem was presented, based on nature-inspired EHO algorithm. In sharp contrast to the existing algorithms which apply approximations ... See full document

13

Parameter optimization of evolving spiking neural networks using improved firefly algorithm for classification tasks

Parameter optimization of evolving spiking neural networks using improved firefly algorithm for classification tasks

... Classification is one of the most commonly encountered processing tasks for decision making. A problem of classification occurs when an object requires to be assigned into a group that are predefined or class ... See full document

36

A COMPARATIVE STUDY OF PARTICLE SWARM OPTIMIZATION AND GRAVITATIONAL SEARCH ALGORITHM IN POULTRY HOUSE TEMPERATURE CONTROL SYSTEM

A COMPARATIVE STUDY OF PARTICLE SWARM OPTIMIZATION AND GRAVITATIONAL SEARCH ALGORITHM IN POULTRY HOUSE TEMPERATURE CONTROL SYSTEM

... knowledge based system that can regulated the temperature requirement of the poultry system will go a long way to overcome the shortcomings of the existing ... See full document

18

Optimal Dispatch of Real Power Generation using Particle Swarm Optimization: a Case Study of Egbin Thermal Station

Optimal Dispatch of Real Power Generation using Particle Swarm Optimization: a Case Study of Egbin Thermal Station

... global optimization problems with nonconvex or non- smooth objective ...stochastic optimization techniques requires relatively less computational burden or ... See full document

9

SENSOR DEPLOYMENT USING PARTICLE SWARM OPTIMIZATION

SENSOR DEPLOYMENT USING PARTICLE SWARM OPTIMIZATION

... visited position for the particle is p ibest  ( p i 1 , p i 2 ,....... p id ) and also the best position explored. The best value so far is global best i.e., p gbest  ( p g 1 , p g 2 ,....... p gd ) [ Yong Wang et al. ... See full document

7

Swarm Intelligence Based Technique for Rule Mining in the Medical Domain

Swarm Intelligence Based Technique for Rule Mining in the Medical Domain

... generating large number of rules or rules with too many conditions in the antecedent, tends to confuse the end user and is not usable for medical knowledge discovery. ACO/PSO with new quality measure of fitness performs ... See full document

6

Comparative Analysis of Clustering & Enhancing          Classification Using Bio- Inspired Approaches

Comparative Analysis of Clustering & Enhancing Classification Using Bio- Inspired Approaches

... PSO is a computational method that optimizes a problem by trying to improve a candidate solution through a number of iterations with respect to quality. In PSO, each single solution is a bird in a search space, call it a ... See full document

5

An Enhanced Cooperative Harmony Search Algorithm for Solving Optimization Problems

An Enhanced Cooperative Harmony Search Algorithm for Solving Optimization Problems

... global optimization problems have introduced the artificial bee colony algorithm is a new swarm intelligence technique inspired by intelligent foraging behavior of honey ...new ... See full document

9

Show all 10000 documents...