Metaheuristic Approach
Secure Data Aggregation Using Multi objective Metaheuristic Approach for WSN
... Wireless Sensor Network is consisting of group of sensor nodes which are able to sense data and to convey sensed information to the base station. Sensor nodes have finite energy and finite memory. For improving the life ...
5
1. Comparison of clearance variation using selective assembly and metaheuristic approach
... an approach for reducing the overall variation and thus improving the quality of an assembled ...This approach is often less costly than a tolerance design using tighter specifications on individual ...
8
A self organized metaheuristic approach towards inter cell interference management for LTE Advanced
... The algorithms proposed for CC selection [14-16] are listed here. A G-factor based CC selection algorithm is proposed in [14]. This algorithm targeted the CA of inter-band non-contiguous CCs. It takes into account both ...
15
Short-Term Forecasting of the Output Power of a Building-Integrated Photovoltaic System Using a Metaheuristic Approach
... The process of finding the best-suited solution of a problem within a given constraint is called optimization. Storn and Price [36] proposed a particle-based global optimization algorithm called the differential ...
23
A Metaheuristic approach for Batch Sizing and Scheduling Problem in Flexible Flow Shop with Unrelated Parallel Machines
... After many reported experiments in the literature, genetic algorithms have been found to be efficient, effective and robust algorithm for complicated problems. Nevertheless, genetic algorithms also have their ...
6
A Metaheuristic Approach to Find the Best Position and Size of a Photovoltaic System in Distribution Networks
... We cannot imagine life without electricity. Electricity or Electrical energy is required in every corner of life. Electrical power system is consists of Generation, Transmission and distribution. At the generation side ...
5
Classifier Model for Intrusion Detection Using Bio-inspired Metaheuristic Approach
... In this paper, we have presented a metaheuristic bio-inspired approach to select the best features for detecting intrusions. We have studied the impact of features selected using BAT algorithm. We have also ...
6
On the Detection of Visual Features from Digital Curves Using a Metaheuristic Approach
... programming approach to improve the fitting quality of polygonal approximation by combining the dominant point detection and the dynamic ...term metaheuristic as a strategy that guides another heuristic to ...
13
A Metaheuristic Approach for Propagation-Model Tuning in LTE Networks
... presented approach to a network deployed over a hilly area, even out- performing the results of a least-squares analytical method commonly used in the related ...
10
Unveiling Hidden Values of Optimization Models with Metaheuristic Approach
... Many real-life optimization problems cannot be modeled adequately using linear program- ming. Other techniques, such as integer programming and non-linear programming, are typically used to solve these problems. However, ...
174
Solving the Class Responsibility Assignment Problem Using Metaheuristic Approach
... that with increasing k, crossover-based algo- rithms are outperformed by mutation-based al- gorithms [ 15 ] . Though the neighbourhood size k is not constant for all genes, search landscape of class responsibility ...
10
IMAGE DUPLICATION AND ROTATION DETECTION METHODS FOR STORAGE UTILIZATION
... Metaheuristic approach to feature selection can be categorized into two types; employed Single Solution-based Metaheuristics (SBM) and Population-based Metaheuristics ...19]. metaheuristic ...
11
Survey of Metaheuristic Algorithms for Combinatorial Optimization
... Greedy randomized adaptive search procedure (GRASP) was introduced by Resende in 1995. GRASP [44] is a multi start or iterative procedure consisting of 2 phases. One is Construction phase and another is a local search ...
11
Metaheuristic Algorithms: Guidelines for Implementation
... Presently, upon solving a problem, the primary objective is actually to find the best possible way in solving, rather than promoting a specific metaheuristic. One of the key alternatives to improve ...
6
Metaheuristic research: a comprehensive survey
... earlier approach divides optimization problems into subcomponents and solves these components independently, and later on merging together to form an aggregated ...that metaheuristic methods suffer from ...
35
A Combination Approach of Two Metaheuristic Algorithm for Optimal Feature Selection: Case Study Email Spam Detection
... The first hybrid method for the selection of characteristics belongs to Oh et al. [22] incorporating local search operations that are Forward Sequential Search (SFS), Floating Forward Sequential Search (SFFS), and ...
25
Comparison of Metaheuristic Algorithms through Application in Noisy Speech Signal using Adaptive Filtering Approach
... this approach, ANC is implemented through four different metaheuristic ...various metaheuristic techniques such as Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), Cuckoo Search (CS) ...
8
It from Qutrit: Braided Loop Metaheuristic
... Loop Metaheuristic horn-torus multiverse is essentially a more magnificent quantum field of knowledge ema- nating from a ψ -Epistemic Field dipole and existential epistemic spark-gap at its ...
28
A Modified Metaheuristic Algorithm for Opinion Mining
... In this paper, it is proposed to extract the feature set from reviews using Inverse document frequency and the reviews are classified as positive or negative using Bagging algorithms.. T[r] ...
5
On Metaheuristic Optimization Motivated by the Immune System
... useful approach if the hierar- chical order among the objectives is of prime importance and the user is not interested in the continuous trade-off among the ...
9