Traditional internal combustion engine vehicles are a major contributor to global
greenhouse gas emissions and other air pollutants, such as particulate matter and nitrogen …

Recent blackouts around the world question the reliability of conventional and adaptive load
shedding techniques in avoiding such power outages. To address this issue, reliable …

Electric vehicle (EV) is a promising technology for reducing environmental impacts of road
transport. In this paper, a framework for optimal design of battery charging/swap stations in …

This paper proposes a hybridized version of the Harris Hawks Optimizer (HHO) with
adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems. ELD is an …

In this paper a novel time varying acceleration coefficients particle swarm optimization
(TVAC-PSO) algorithm is implemented to solve combined heat and power economic …

This manuscript proposes a novel metaheuristic, which is an amalgamation of the quantum
concept and the gravitational search particle swarm optimization technique. The inclusion of …

This paper introduces an approach to quantify resilience for the design of systems that can
be described as a network. A key characteristic of resilience is the ability of restoring …

In this paper, a computational framework for integrating wind power uncertainty and carbon
tax in economic dispatch (ED) model is developed. The probability of stochastic wind power …

Power generation system largely depends on fossil fuels to generate electricity. Due to
various reasons, the reserves of fossil fuels are declining and will become too expensive in …

This paper presents a new optimization technique developed based on harmony search
algorithm (HSA), called chaotic improved harmony search algorithm (CIHSA). In the …