Biogeography-based learning particle swarm optimization for combined heat and power economic dispatch problem
Combined heat and power economic dispatch (CHPED) is an important optimization task in
the economic operation of power systems. The interdependence of heat and power outputs …
the economic operation of power systems. The interdependence of heat and power outputs …
Parameter and strategy adaptive differential evolution algorithm based on accompanying evolution
M Wang, Y Ma, P Wang - Information Sciences, 2022 - Elsevier
Differential evolution (DE) is an intelligent optimization algorithm inspired by biological
evolution. Setting a mutation strategy and control parameters that meet the optimization …
evolution. Setting a mutation strategy and control parameters that meet the optimization …
Bee-foraging learning particle swarm optimization
Numerous particle swarm optimization (PSO) algorithms have been developed for solving
numerical optimization problems in recent years. However, most of existing PSO algorithms …
numerical optimization problems in recent years. However, most of existing PSO algorithms …
Multi population-based chaotic differential evolution for multi-modal and multi-objective optimization problems
Differential evolution (DE) is a simple but powerful evolutionary algorithm used in multiple
sciences and engineering disciplines to tackle optimization problems. DE has some …
sciences and engineering disciplines to tackle optimization problems. DE has some …
An adaptive differential evolution algorithm with population size reduction strategy for unconstrained optimization problem
X Zhang, Q Liu, Y Qu - Applied Soft Computing, 2023 - Elsevier
The differential evolution (DE) algorithm is a heuristic random search algorithm that
optimizes the problem based on population evolution. It has been widely studied for its …
optimizes the problem based on population evolution. It has been widely studied for its …
Opposition-mutual learning differential evolution with hybrid mutation strategy for large-scale economic load dispatch problems with valve-point effects and multi-fuel …
The economic load dispatch (ELD) problem plays a crucial role in power system operation.
In practice, the ELD problem becomes a non-convex, multi-constraint, non-linear …
In practice, the ELD problem becomes a non-convex, multi-constraint, non-linear …
[HTML][HTML] A cost-effective solution for non-convex economic load dispatch problems in power systems using slime mould algorithm
Slime Mould Algorithm (SMA) is a newly designed meat-heuristic search that mimics the
nature of slime mould during the oscillation phase. This is demonstrated in a unique …
nature of slime mould during the oscillation phase. This is demonstrated in a unique …
An Amalgamated Heap and Jellyfish Optimizer for economic dispatch in Combined heat and power systems including N-1 Unit outages
One of the critical optimization issues in the economic management of power and heat
systems is the Combined heat and power economic dispatch (CHPED). The valve-point …
systems is the Combined heat and power economic dispatch (CHPED). The valve-point …
Forgetting velocity based improved comprehensive learning particle swarm optimization for non-convex economic dispatch problems with valve-point effects and multi …
Economic dispatch (ED) plays an essential role in the operation and planning of power
systems. Mathematically, it turns to be a multi-constraint, multimodal, non-linear, and …
systems. Mathematically, it turns to be a multi-constraint, multimodal, non-linear, and …
An elite-guided hierarchical differential evolution algorithm
X Zhong, P Cheng - Applied Intelligence, 2021 - Springer
Population structure has an impact on the performance of metaheuristic algorithms. To better
improve the performance of differential evolution (DE), an elite-guided hierarchical …
improve the performance of differential evolution (DE), an elite-guided hierarchical …