Backtracking search optimization algorithm for numerical optimization problems
P Civicioglu - Applied Mathematics and computation, 2013 - Elsevier
This paper introduces the Backtracking Search Optimization Algorithm (BSA), a new
evolutionary algorithm (EA) for solving real-valued numerical optimization problems. EAs …
evolutionary algorithm (EA) for solving real-valued numerical optimization problems. EAs …
A novel particle swarm optimization algorithm with Levy flight
Particle swarm optimization (PSO) is one of the well-known population-based techniques
used in global optimization and many engineering problems. Despite its simplicity and …
used in global optimization and many engineering problems. Despite its simplicity and …
An enhanced particle swarm optimization with levy flight for global optimization
R Jensi, GW Jiji - Applied Soft Computing, 2016 - Elsevier
Hüseyin Haklı and Harun Uguz (2014) proposed a novel approach for global function
optimization using particle swarm optimization with levy flight (LFPSO)[Hüseyin Haklı, Harun …
optimization using particle swarm optimization with levy flight (LFPSO)[Hüseyin Haklı, Harun …
Integrating machine learning and mathematical programming for efficient optimization of operating conditions in organic Rankine cycle (ORC) based combined …
Operations optimization in an organic Rankine cycle (ORC) based combined system is
important while computationally difficult by using mechanistic models due to complex …
important while computationally difficult by using mechanistic models due to complex …
Development and investigation of efficient artificial bee colony algorithm for numerical function optimization
G Li, P Niu, X Xiao - Applied soft computing, 2012 - Elsevier
Artificial bee colony algorithm (ABC), which is inspired by the foraging behavior of honey
bee swarm, is a biological-inspired optimization. It shows more effective than genetic …
bee swarm, is a biological-inspired optimization. It shows more effective than genetic …
A survey of the state of the art in particle swarm optimization
Meta-heuristic optimization algorithms have become popular choice for solving complex and
intricate problems which are otherwise difficult to solve by traditional methods. In the present …
intricate problems which are otherwise difficult to solve by traditional methods. In the present …
Particle swarm optimization with a new update mechanism
MS Kiran - Applied Soft Computing, 2017 - Elsevier
Particle swarm optimization (PSO) has been invented by inspiring social behaviors of fish or
birds to solve nonlinear global optimization problems. Since its invention, many PSO …
birds to solve nonlinear global optimization problems. Since its invention, many PSO …
Multi-functional metasurface: ultra-wideband/multi-band absorption switching by adjusting guided-mode resonance and local surface plasmon resonance effects
This study introduces an innovative dual-tunable absorption film with the capability to switch
between ultra-wideband and narrowband absorption. By manipulating the temperature, the …
between ultra-wideband and narrowband absorption. By manipulating the temperature, the …
A novel intelligent reasoning system to estimate energy consumption and optimize cutting parameters toward sustainable machining
L Xu, C Huang, C Li, J Wang, H Liu, X Wang - Journal of Cleaner …, 2020 - Elsevier
As it is hard to estimate the energy consumption and to optimize the cutting parameters in
different tool wear status, this paper presents a novel intelligent reasoning system for the …
different tool wear status, this paper presents a novel intelligent reasoning system for the …
Techno-economic analysis of robust gas-to-power distributed generation planning for grid stability and environmental sustainability in Nigeria
With an average generating capacity of around 4000 MW of electricity for a population of
over 200 million people, less than 50% of Nigerians have access to electricity. Nevertheless …
over 200 million people, less than 50% of Nigerians have access to electricity. Nevertheless …