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information heuristic-based algorithms

International Journal of Computer Science and Mobile Computing

International Journal of Computer Science and Mobile Computing

... useful information from the marks. Specifically, based on the packet marks, the sink can figure out the dropping ratio associated with every sensor ...the information of node behaviors has been ...

5

Optimal design of monopile offshore wind turbine structures using CBO, ECBO, and VPS algorithms

Optimal design of monopile offshore wind turbine structures using CBO, ECBO, and VPS algorithms

... optimizer algorithms mostly employ gradient information or iter- ative methods in order to run an exploration within the solution space in the periphery of an initial point for obtaining better ...

17

Machine Learning Based Heuristic Search Algorithms to Solve Birds of a Feather Card Game

Machine Learning Based Heuristic Search Algorithms to Solve Birds of a Feather Card Game

... to heuristic algorithms such as Monte Carlo tree search (MCTS), as well as a novel heuristic search algorithm guided by machine ...studied algorithms converge to a solution from a solvable ...

6

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													Hybridization of soft computing techniques for flow shop scheduling problem

1. Hybridization of soft computing techniques for flow shop scheduling problem

... inhabitants based on an algorithm have been proposed to find near-optimal solutions to the difficult optimization problems like scheduling and routing ...inhabitant based algorithm consisting of possible ...

7

Generating associative ripples of relevant information from a variety of data streams by throwing a heuristic stone

Generating associative ripples of relevant information from a variety of data streams by throwing a heuristic stone

... microblogs, information is spreading more quickly and ...meaningful information. It is hard to imagine that we could find useful information by simply inputting a few keywords into a search engine in ...

7

Performance Analysis of Fault Tolerant Heuristic Algorithms for Determining Optimal

Performance Analysis of Fault Tolerant Heuristic Algorithms for Determining Optimal

... and heuristic path in a given network ...routing information to develop the network state at this ...is based on the concept of evolution and has many opportunities to give a better solution for more ...

5

Empirical Optimal Kernel for Convex Multiple Kernel Learning

Empirical Optimal Kernel for Convex Multiple Kernel Learning

... tuned based on the model selection criteria ...the information from the entire training data and can be computed ...different algorithms: heuristic approach, optimization approach and ...

6

Association Rule Hiding by Heuristic Approach to Reduce Side Effects and Hide Multiple R  H  S   Items

Association Rule Hiding by Heuristic Approach to Reduce Side Effects and Hide Multiple R H S Items

... using heuristic approach can be divided into rule hiding and itemset hiding algorithms ...Five algorithms are proposed to hide sensitive information in database [6], among them three are rule ...

7

Meta heuristic algorithms for optimized network flow wavelet based image coding

Meta heuristic algorithms for optimized network flow wavelet based image coding

... similar information of the original source can be efficiently generated by using various quantization techniques ...important information of the multimedia source. In this work, a wavelet-based ...

34

Sensor Distribution Optimization Based on Heuristic Algorithms for Structural Health Monitoring

Sensor Distribution Optimization Based on Heuristic Algorithms for Structural Health Monitoring

... Serial method is a sensor optimization distribution algorithm based on modal analysis of structures. The method is through the modal assurance criterion (MAC) matrix evaluation modal vector angle [3]. Constantly ...

6

Stochastic Fractal Search Algorithm for 3D Protein Structure Prediction

Stochastic Fractal Search Algorithm for 3D Protein Structure Prediction

... folding information hidden in the protein ...many heuristic algorithms[3] in the simulation computer to realize the prediction of protein structure based on AB off-lattice model at home and ...

5

Hybrid PSOS Algorithm For Continuous ‎Optimization

Hybrid PSOS Algorithm For Continuous ‎Optimization

... various dimensions such as 2, 4, 10 and 30. Ta- bles 1 and 2 present the unimodal and multi- modal benchmark functions. The PSOS has been tested by these functions and tries to find mini- mum solution for them. the ...

14

Meta-heuristic algorithms as tools for hydrological science

Meta-heuristic algorithms as tools for hydrological science

... Here, a relatively new hybrid version of HS algorithm, the Smallest Small World Cellular Harmony Search (SSWCHS), is introduced. Lim et al. [28] proposed an improved HS algorithm that uses the cellular automata theory ...

7

Exact and Heuristic Algorithms for the q-mode Problem

Exact and Heuristic Algorithms for the q-mode Problem

... A). Based on this observation we select formulation (IP T ) to optimally solve instances of the q-mode problem using the CPLEX branch and cut ...the algorithms based on Benders decomposition, either ...

150

Improving Market Risk Management with Heuristic Algorithms

Improving Market Risk Management with Heuristic Algorithms

... CVaR based discrete-time hedging method with transaction costs and normal inverse Gaussian return distribution to secure an European call option with an index ...

167

Grid Job Scheduling - A Detailed Study

Grid Job Scheduling - A Detailed Study

... Grid computing [1] enhances computing facilities over internet. Grid computing has emerged from distributed computing where the resources of many computers in a network are used are used to solve a single problem at the ...

5

Few heuristic optimization algorithms to solve the multi-period fixed charge production-distribution problem

Few heuristic optimization algorithms to solve the multi-period fixed charge production-distribution problem

... (GA) based population search heuristic, Simulated annealing algorithm (SAA) based neighbourhood search heuristic and an Equivalent variable cost (EVC) based simple heuristic are ...

11

Solving a new multi-objective resource constrained project scheduling problem by SAICA and compare it with DE method

Solving a new multi-objective resource constrained project scheduling problem by SAICA and compare it with DE method

... method based on Me measure is used to cope with the uncertainties, and TH method is utilized to convert the multi-objective method into the single ...algorithm based on Imperialist Competitive ...

37

A TWO STAGE INTELLIGENT COMPRESSION SYSTEM FOR SURVEILLANCE VIDEOS

A TWO STAGE INTELLIGENT COMPRESSION SYSTEM FOR SURVEILLANCE VIDEOS

... In the proposed method, a novel heuristic strategy incorporating the above described SMHT is used to construct the initial population and consists of two major parts. In the first part, by employing the priority ...

11

A multi-agent based cooperative approach to scheduling and routing

A multi-agent based cooperative approach to scheduling and routing

... two algorithms (or different settings for the same algorithm); A versus B, > (<) denotes that A (B) is better than B (A) and this performance difference is statistically significant at a 95% confidence ...

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