Optimal path planning for drones based on swarm intelligence algorithm
Recently, Drones and UAV research were becoming one of the interest topics for academia
and industry, where it has been extensively addressed in the literature back the few years …
and industry, where it has been extensively addressed in the literature back the few years …
Optimized sizing of energy management system for off-grid hybrid solar/wind/battery/biogasifier/diesel microgrid system
Recent advances in electric grid technology have led to sustainable, modern, decentralized,
bidirectional microgrids (MGs). The MGs can support energy storage, renewable energy …
bidirectional microgrids (MGs). The MGs can support energy storage, renewable energy …
Hybrid artificial electric field employing cuckoo search algorithm with refraction learning for engineering optimization problems
OR Adegboye, E Deniz Ülker - Scientific Reports, 2023 - nature.com
Due to its low dependency on the control parameters and straightforward operations, the
Artificial Electric Field Algorithm (AEFA) has drawn much interest; yet, it still has slow …
Artificial Electric Field Algorithm (AEFA) has drawn much interest; yet, it still has slow …
Antenna array pattern synthesis using nature-inspired computational techniques: A review
A very significant field of research that keeps getting better at tackling optimization issues is
the metaheuristic algorithm. One of the categories of metaheuristic algorithms that has …
the metaheuristic algorithm. One of the categories of metaheuristic algorithms that has …
A novel grid-connected microgrid energy management system with optimal sizing using hybrid grey wolf and cuckoo search optimization algorithm
Renewable energy systems, particularly in countries with limited fossil fuel resources, are
promising and environmentally sustainable sources of electricity generation. Wind, solar …
promising and environmentally sustainable sources of electricity generation. Wind, solar …
[图书][B] Introduction to nature-inspired optimization
G Lindfield, J Penny - 2017 - books.google.com
Introduction to Nature-Inspired Optimization brings together many of the innovative
mathematical methods for non-linear optimization that have their origins in the way various …
mathematical methods for non-linear optimization that have their origins in the way various …
Intelligent clustering using moth flame optimizer for vehicular ad hoc networks
Vehicular ad hoc networks consist of access points for communication, transmission, and
collecting information of nodes and environment for managing traffic loads. Clustering can …
collecting information of nodes and environment for managing traffic loads. Clustering can …
Optimal design of the own ship maneuver in the bearing-only target motion analysis problem using a heuristically supervised extended Kalman filter
The state estimation algorithm and the Own Ship maneuvering specifications have great
effects on the accuracy of the bearing-only tracking (BOT) method. In the BOT problem, the …
effects on the accuracy of the bearing-only tracking (BOT) method. In the BOT problem, the …
Flower pollination algorithm for multimodal optimization
This paper proposes a new algorithm called Multimodal Flower Pollination Algorithm
(MFPA). Under MFPA, the original Flower Pollination Algorithm (FPA) is enhanced with …
(MFPA). Under MFPA, the original Flower Pollination Algorithm (FPA) is enhanced with …
A Measure of Diversity for Metaheuristic Algorithms Employing Population-Based Approaches
Abstract In Metaheuristic Algorithms (MA), balancing exploration and exploitation is a widely
recognized challenge and an ongoing research issue within the MA community. Apart from …
recognized challenge and an ongoing research issue within the MA community. Apart from …