most citedEvolutionary Artificial Neural Network Based on Chemical Reaction Optimization

103 citations · 253 across the 10 of their papers we have counts for

collaborators

10 papers

cs.NE20155 cited

Adaptive Chemical Reaction Optimization for Global Numerical Optimization

James J. Q. Yu, Albert Y. S. Lam, Victor O. K. Li

A newly proposed chemical-reaction-inspired metaheurisic, Chemical Reaction Optimization (CRO), has been applied to many optimization problems in both discrete and continuous domai…

cs.NE20151 cited

Parameter Sensitivity Analysis of Social Spider Algorithm

James J. Q. Yu, Victor O. K. Li

Social Spider Algorithm (SSA) is a recently proposed general-purpose real-parameter metaheuristic designed to solve global numerical optimization problems. This work systematically…

cs.NE20151 cited

A Social Spider Algorithm for Global Optimization

James J. Q. Yu, Victor O. K. Li

The growing complexity of real-world problems has motivated computer scientists to search for efficient problem-solving methods. Metaheuristics based on evolutionary computation an…

cs.NI201520 cited

Base Station Switching Problem for Green Cellular Networks with Social Spider Algorithm

James J. Q. Yu, Victor O. K. Li

With the recent explosion in mobile data, the energy consumption and carbon footprint of the mobile communications industry is rapidly increasing. It is critical to develop more en…

cs.NE201527 cited

Chemical Reaction Optimization for the Set Covering Problem

James J. Q. Yu, Albert Y. S. Lam, Victor O. K. Li

The set covering problem (SCP) is one of the representative combinatorial optimization problems, having many practical applications. This paper investigates the development of an a…

cs.NE201513 cited

An Inter-molecular Adaptive Collision Scheme for Chemical Reaction Optimization

James J. Q. Yu, Victor O. K. Li, Albert Y. S. Lam

Optimization techniques are frequently applied in science and engineering research and development. Evolutionary algorithms, as a kind of general-purpose metaheuristic, have been s…