Particle Swarm Optimization (PSO) is a metaheuristic global optimization paradigm that has
gained prominence in the last two decades due to its ease of application in unsupervised …

Optical imaging techniques are ubiquitous for the resolution of non-uniformities in gas flows.
Planar imaging techniques such as laser-induced fluorescence are well established and …

In the mid 1990s two landmark metaheuristics have been proposed: Particle Swarm
Optimization and Differential Evolution. Their initial versions were very simple, but rapidly …

This paper presents a novel nature-inspired optimization paradigm, named as squirrel
search algorithm (SSA). This optimizer imitates the dynamic foraging behaviour of southern …

In this paper, a hybrid genetic algorithm with particle swarm optimization (GA-PSO) is
applied for the optimal sizing of an off-grid house with photovoltaic panels, wind turbines …

In recent algorithmic family simulates different biological processes observed in Nature in
order to efficiently address complex optimization problems. In the last years the number of …

Recently, the increasing energy demand has caused dramatic consumption of fossil fuels
and unavoidable raising energy prices. Moreover, environmental effect of fossil fuel led to …

In recent decades, Photovoltaic (PV) energy has made significant progress towards meeting
the continuously increasing world energy demand. Besides that, the issue of conventional …

This paper proposes a multimodal multiobjective Differential Evolution optimization
algorithm (MMODE). The technique is conceived for deployment on problems with a Pareto …

ELECTRIC propulsion has been attracting much attention since its first use in the mission of
Deep Space 1 [1] and has won significant appeal by the Japanese mission named …