Multi-Objective Optimization of Hybrid Renewable Energy System Using an Enhanced Multi-Objective Evolutionary Algorithm

Localized Weighted Sum Method for Many-Objective Optimization

(2018) Rui Wang et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Decomposition-Based Algorithms Using Pareto Adaptive Scalarizing Methods

(2016) Rui Wang et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Preference-inspired co-evolutionary algorithms using weight vectors

(2015) Rui Wang et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

The iPICEA-g: a new hybrid evolutionary multi-criteria decision making approach using the brushing technique

(2015) Rui Wang et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Multi-objective optimal design of hybrid renewable energy systems using preference-inspired coevolutionary approach

(2015) Zhichao Shi et al.   SOLAR ENERGY

Interrelationship-Based Selection for Decomposition Multiobjective Optimization

(2015) Ke Li et al.   IEEE Transactions on Cybernetics

General framework for localised multi-objective evolutionary algorithms

(2013) Rui Wang et al.   INFORMATION SCIENCES

Preference-Inspired Coevolutionary Algorithms for Many-Objective Optimization

(2012) Rui Wang et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Multi-objective optimization of a stand-alone hybrid renewable energy system by using evolutionary algorithms: A review

(2012) M. Fadaee et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A modified honey bee mating optimization algorithm for multiobjective placement of renewable energy resources

(2011) Taher Niknam et al.   APPLIED ENERGY

Multiobjective genetic algorithm solution to the optimum economic and environmental performance problem of small autonomous hybrid power systems with renewables

(2010) Y.A. Katsigiannis et al.   IET Renewable Power Generation

Multi-objective design of PV–wind–diesel–hydrogen–battery systems

(2008) Rodolfo Dufo-López et al.   RENEWABLE ENERGY

Optimal sizing method for stand-alone hybrid solar–wind system with LPSP technology by using genetic algorithm

(2007) Hongxing Yang et al.   SOLAR ENERGY