activity
20142019
most citedRate-Splitting Multiple Access for Downlink Communication Systems: Bridging, Generalizing and Outperforming SDMA and NOMA

710 citations · 1.9k across the 28 of their papers we have counts for

collaborators
Showing 2015Show all

14 papers · 1 filter

cs.NE2015

A Revisit of Infinite Population Models for Evolutionary Algorithms on Continuous Optimization Problems

Bo Song, Victor O. K. Li

Infinite population models are important tools for studying population dynamics of evolutionary algorithms. They describe how the distributions of populations change between consec…

eess.SY2015★ 11 cited

Coordinated Electric Vehicle Charging Control with Aggregator Power Trading and Indirect Load Control

James J. Q. Yu, Junhao Lin, Albert Y. S. Lam +1

Due to the increasing concern for greenhouse gas emissions and fossil fuel security, electric vehicles (EVs) have attracted much attention in recent years. EVs can aggregate togeth…

cs.NE2015★ 118 cited

A Social Spider Algorithm for Solving the Non-convex Economic Load Dispatch Problem

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

Economic Load Dispatch (ELD) is one of the essential components in power system control and operation. Although conventional ELD formulation can be solved using mathematical progra…

cs.NE2015★ 5 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.NE2015★ 1 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.NE2015★ 1 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…