Improved Ant Colony Optimization towards Robust Ensemble Co-Clustering Algorithm (IACO-RECCA) for Enzyme Clustering
نویسنده
چکیده
This research work intends to propose a system with Improved Ant Colony Optimization (IACO) based on enhanced preprocessing method for enzyme clustering. A powerful optimization system is proposed in this research work initially deals with the enhanced principal component analysis. At that point the target function for the co-clustering troupe towards application to enzyme clustering is presented. An optimization technique for spectral co-clustering ensemble algorithm is described with constructive mathematical modeling. The proposed algorithm (IACO-RECCA) is capable enough to perform co-clustering with the objective function as the primary component. Simulation results proved that the proposed mechanism IACO-RECCA performs better in terms of accuracy and computation time.
منابع مشابه
An Improved Cuckoo Search Based Robust Ensemble Co- Clustering Algorithm (Ics - Recca) For Enzyme Clustering
This research work intends to propose a system with improved cuckoo search based robust ensemble co-clustering algorithm (ICS RECCA) for enzyme clustering. The cuckoo search algorithm has been inspired by the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds (of other species). Some host birds can engage direct conflict with the intruding cuc...
متن کاملAn Improved Cuckoo Search Based Robust Ensemble Co-clustering Algorithm (ics - Recca) for Gene Data Clustering
This research work intends to propose a system with improved cuckoo searchbased robust ensemble co-clustering algorithm (ICS RECCA) for enzyme clustering. The cuckoo search algorithm has been inspired by the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds (of other species). Some host birds can engage direct conflict with the intruding cuck...
متن کاملEnergy Efficient Traffic Protocol in Wireless Sensor Networks Using Improved Metaheuristic Algorithm
This paper proposes an improved Ant Colony Optimization (iACO) algorithm with improved search patterns using Fractional Brownian Motion for improving the exploitation capability. To improve the global convergence and to increase the energy efficiency using proposed iACO, Fractional Brownian Motion is used. This maintains a proper balance between the exploitation and exploration abilities using ...
متن کاملHybrid ANFIS with ant colony optimization algorithm for prediction of shear wave velocity from a carbonate reservoir in Iran
Shear wave velocity (Vs) data are key information for petrophysical, geophysical and geomechanical studies. Although compressional wave velocity (Vp) measurements exist in almost all wells, shear wave velocity is not recorded for most of elderly wells due to lack of technologic tools. Furthermore, measurement of shear wave velocity is to some extent costly. This study proposes a novel methodolo...
متن کاملAn Ant-Colony Optimization Clustering Model for Cellular Automata Routing in Wireless Sensor Networks
High efficient routing is an important issue for the design of wireless sensor network (WSN) protocols to meet the severe hardware and resource constraints. This paper presents an inclusive evolutionary reinforcement method. The proposed approach is a combination of Cellular Automata (CA) and Ant Colony Optimization (ACO) techniques in order to create collision-free trajectories for every agent...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2015