Results 21 to 30 of about 426 (167)

Recent Methodology-Based Gradient-Based Optimizer for Economic Load Dispatch Problem

open access: yesIEEE Access, 2021
Economic load dispatch (ELD) in power system problems involves scheduling the power generating units to minimize cost and satisfy system constraints.
Sanchari Deb   +3 more
doaj   +1 more source

Differential Evolution and Local Search based Monarch Butterfly Optimization Algorithm with Applications

open access: yesInternational Journal of Computational Intelligence Systems, 2018
Global optimization for nonlinear function is a challenging issue. In this paper, an improved monarch butterfly algorithm based on local search and differential evolution is proposed.
Xingyue Cui, Zhe Chen, Fuliang Yin
doaj   +1 more source

Economic Load Dispatch Problem Based on Search and Rescue Optimization Algorithm

open access: yesIEEE Access, 2022
The Search and Rescue optimization algorithm (SAR) is a recent metaheuristic inspired by the exploration’s behaviour for humans throughout search and rescue processes.
Mokhtar Said   +4 more
doaj   +1 more source

A Novel Monarch Butterfly Optimization with Global Position Updating Operator for Large-Scale 0-1 Knapsack Problems

open access: yesMathematics, 2019
As a significant subset of the family of discrete optimization problems, the 0-1 knapsack problem (0-1 KP) has received considerable attention among the relevant researchers.
Yanhong Feng, Xu Yu, Gai-Ge Wang
doaj   +1 more source

Economic Lot Sizing and Scheduling in Distributed Permutation Flow Shops [PDF]

open access: yesJournal of Optimization in Industrial Engineering, 2019
This paper addresses a new mixed integer nonlinear and linear mathematical programming economic lot sizing and scheduling problem in distributed permutation flow shop problem with number of identical factories and machines.
Mohammad Alaghebandha   +2 more
doaj   +1 more source

Drone-Base-Station for Next-Generation Internet-of-Things: A Comparison of Swarm Intelligence Approaches

open access: yesIEEE Open Journal of Antennas and Propagation, 2022
The emergence of next-generation Internet-of-Things (NG-IoT) applications introduces several challenges for the sixth-generation (6G) mobile networks, such as massive connectivity, increased network capacity, and extremely low-latency.
Dimitrios Pliatsios   +5 more
doaj   +1 more source

Survey of Lévy Flight-Based Metaheuristics for Optimization

open access: yesMathematics, 2022
Lévy flight is a random walk mechanism which can make large jumps at local locations with a high probability. The probability density distribution of Lévy flight was characterized by sharp peaks, asymmetry, and trailing.
Juan Li   +4 more
doaj   +1 more source

Performance of Osprey Optimization Algorithm for Solving Economic Load Dispatch Problem

open access: yesMathematics, 2023
The osprey optimization algorithm (OOA) is a new metaheuristic motivated by the strategy of hunting fish in seas. In this study, the OOA is applied to solve one of the main items in a power system called economic load dispatch (ELD).
Alaa A. K. Ismaeel   +5 more
doaj   +1 more source

Bio-Inspired Hybridization of Artificial Neural Networks: An Application for Mapping the Spatial Distribution of Soil Texture Fractions

open access: yesRemote Sensing, 2021
Soil texture and particle size fractions (PSFs) are a critical characteristic of soil that influences most physical, chemical, and biological properties of soil; furthermore, reliable spatial predictions of PSFs are crucial for agro-ecological modeling ...
Ruhollah Taghizadeh-Mehrjardi   +5 more
doaj   +1 more source

Novel WSN Coverage Optimization Strategy via Monarch Butterfly Algorithm and Particle Swarm Optimization

open access: yesWireless Personal Communications, 2022
Abstract Wireless sensor networks (WSNs) show disadvantages of redundancy and relatively high network cost. Aiming at the problems of redundancy and increased network cost in the deployment of nodes in the wireless sensor network. Taking network coverage as the optimization goal, combined with the probability perception model, a new WSN ...
Yinggao Yue, Li Cao, Yong Zhang
openaire   +1 more source

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