Search Results - subject:"Nature-inspired algorithm"

Exposing the grey wolf, moth-flame, whale, firefly, bat, and antlion algorithms : six misleading optimization techniques inspired by bestial metaphors

Camacho-Villalón, Christian L.; Dorigo, Marco; … - In: International transactions in operational research : a … 30 (2023) 6, pp. 2945-2971

Persistent link: https://www.econbiz.de/10014327964

𝛿MOEA/D-AWACD : improving constant-distance-based MOEA/D-AWA using a step function parameter control mechanism

How Siang Chuah; Wong, Li-Pei; Hassan, Fadratul Hafinaz - In: Operations research forum 4 (2023) 3, pp. 1-21

Persistent link: https://www.econbiz.de/10014384924

Application of Moth Flame Optimization Algorithm for AGC of Multi-Area Interconnected Power Systems

Barisal, Ajit Kumar; Lal, Deepak Kumar - In: International Journal of Energy Optimization and … 7 (2018) 1, pp. 22-49

A novel attempt has been made to use Moth Flame Optimization (MFO) algorithm to optimize PI/PID controller parameters for AGC of power system. Four different power systems are considered in the present article. Initially, a two area thermal power system is considered for simulation. The...

Persistent link: https://www.econbiz.de/10012044575

A detailed study on context-aware architectures in internet of things

Deeba, K.; Saravanaguru, R. A. K. - In: International journal of intelligent enterprise 8 (2021) 2/3, pp. 215-238

Persistent link: https://www.econbiz.de/10012512549

A Bi-Criteria Hybrid Grey Wolf Approach for Parallel Machine Job Scheduling

Jeet, Kawal; Dhir, Renu - In: International Journal of Applied Metaheuristic … 8 (2017) 2, pp. 49-71

Nature-inspired algorithms are becoming popular due to their ability to solve complex optimization and engineering problems. Grey Wolf algorithm is one of the recent nature-inspired algorithms that have obtained inspiration from leadership hierarchy and hunting mechanisms of grey wolves. In this...

Persistent link: https://www.econbiz.de/10012042946

Modified artificial bee colony algorithm for facility layout design problem

Agarwal, Shiv Kumar; Yadav, Surendra - In: World review of entrepreneurship, management and … 16 (2020) 6, pp. 624-647

Persistent link: https://www.econbiz.de/10012319064

A light-propagation model for aircraft trajectory planning

Dougui, Nourelhouda; Delahaye, Daniel; Puechmorel, Stéphane - In: Journal of Global Optimization 56 (2013) 3, pp. 873-895

, we introduce a new nature-inspired algorithm: the light propagation algorithm (LPA). This algorithm is a wavefront …

Persistent link: https://www.econbiz.de/10010994179