Coevolutionary multiobjective evolutionary algorithms: Survey of the state-of-the-art
LM Antonio, CAC Coello - IEEE Transactions on Evolutionary …, 2017 - ieeexplore.ieee.org
In the last 20 years, evolutionary algorithms (EAs) have shown to be an effective method to
solve multiobjective optimization problems (MOPs). Due to their population-based nature …
solve multiobjective optimization problems (MOPs). Due to their population-based nature …
Biogeography-based optimization: a 10-year review
Biogeography-based optimization (BBO) is an evolutionary algorithm which is inspired by
the migration of species between habitats. Almost 10 years have passed since the first BBO …
the migration of species between habitats. Almost 10 years have passed since the first BBO …
A survey on new generation metaheuristic algorithms
Metaheuristics are an impressive area of research with extremely important improvements in
the solution of intractable optimization problems. Major advances have been made since the …
the solution of intractable optimization problems. Major advances have been made since the …
Resistance–capacitance optimizer: a physics-inspired population-based algorithm for numerical and industrial engineering computation problems
S Ravichandran, P Manoharan, P Jangir… - Scientific Reports, 2023 - nature.com
The primary objective of this study is to delve into the application and validation of the
Resistance Capacitance Optimization Algorithm (RCOA)—a new, physics-inspired …
Resistance Capacitance Optimization Algorithm (RCOA)—a new, physics-inspired …
A clustering-based adaptive evolutionary algorithm for multiobjective optimization with irregular Pareto fronts
Y Hua, Y Jin, K Hao - IEEE Transactions on Cybernetics, 2018 - ieeexplore.ieee.org
Existing multiobjective evolutionary algorithms (MOEAs) perform well on multiobjective
optimization problems (MOPs) with regular Pareto fronts in which the Pareto optimal …
optimization problems (MOPs) with regular Pareto fronts in which the Pareto optimal …
Three-dimensional path planning for uninhabited combat aerial vehicle based on predator-prey pigeon-inspired optimization in dynamic environment
B Zhang, H Duan - IEEE/ACM transactions on computational …, 2015 - ieeexplore.ieee.org
Three-dimension path planning of uninhabited combat aerial vehicle (UCAV) is a
complicated optimal problem, which mainly focused on optimizing the flight route …
complicated optimal problem, which mainly focused on optimizing the flight route …
Parameter extraction of three-diode solar photovoltaic model using a new metaheuristic resistance–capacitance optimization algorithm and improved Newton …
Identifying and estimating uncertain and dynamic photovoltaic characteristics with high
accuracy is important when modeling solar photovoltaic (PV) systems. It is critical to have …
accuracy is important when modeling solar photovoltaic (PV) systems. It is critical to have …
Chaotic predator–prey biogeography-based optimization approach for UCAV path planning
W Zhu, H Duan - Aerospace science and technology, 2014 - Elsevier
This paper proposes a novel Chaotic Predator–Prey Biogeography-Based Optimization
(CPPBBO) approach for solving the path planning problems of Uninhabited Combat Air …
(CPPBBO) approach for solving the path planning problems of Uninhabited Combat Air …
Predator–prey brain storm optimization for DC brushless motor
Brain Storm Optimization (BSO) is a newly-developed swarm intelligence optimization
algorithm inspired by a human being's behavior of brainstorming. In this paper, a novel …
algorithm inspired by a human being's behavior of brainstorming. In this paper, a novel …
Optimal allocation of static synchronous series compensator (SSSC) in wind-integrated power system considering predictability
S Galvani, B Mohammadi-Ivatloo… - Electric Power Systems …, 2021 - Elsevier
The state of power systems is getting more and more unpredictable, by ever-increasing
integration of renewable energy sources such as wind turbines. In addition to renewable …
integration of renewable energy sources such as wind turbines. In addition to renewable …