[Retracted] Improved Genetic Algorithm to Solve the Scheduling Problem of College English Courses
J Xu - Complexity, 2021 - Wiley Online Library
In this paper, an improved genetic algorithm is designed to solve the above multiobjective
optimization problem for the scheduling problem of college English courses. Firstly, a …
optimization problem for the scheduling problem of college English courses. Firstly, a …
TLBO with variable weights applied to shop scheduling problems
LR Rodrigues, JPP Gomes - CAAI Transactions on Intelligence …, 2019 - Wiley Online Library
The teaching–learning‐based optimisation (TLBO) algorithm is a population‐based
metaheuristic inspired on the teaching–learning process observed in a classroom. It has …
metaheuristic inspired on the teaching–learning process observed in a classroom. It has …
PV/BESS for supporting electric vehicle charging station integration in a capacity-constrained power distribution grid using MCTLBO
K Kasturi, M Ranjan Nayak… - Scientia …, 2022 - scientiairanica.sharif.edu
Solar photovoltaic (PV) systems with back-up battery energy storage system (BESS) mitigate
power system related issues like ever-increasing load demand, power loss, voltage …
power system related issues like ever-increasing load demand, power loss, voltage …
A hybrid genetic algorithm applied to the transmission network expansion planning considering non-conventional solution candidates
JAL López, JM López-Lezama… - Journal of Applied …, 2019 - jase.tku.edu.tw
This paper presents a metaheuristic approach to solve the transmission network expansion
planning (TNEP) problem considering non-conventional solution candidates. The TNEP …
planning (TNEP) problem considering non-conventional solution candidates. The TNEP …
Optimizing Solar Panel Performance in Diverse Conditions: A Synergistic Approach Using Reduced Form Method and Particle Swarm Optimization
N Maouhoub, K Tifidat - … and Tifidat, Kawtar, Optimizing Solar Panel … - papers.ssrn.com
Precise and efficient estimation of parameters in photovoltaic (PV) models is essential for
optimizing and simulating PV systems. Various meta-heuristic algorithms have been …
optimizing and simulating PV systems. Various meta-heuristic algorithms have been …
[PDF][PDF] Study of biology inspired global optimization techniques
E Rebollo - 2019 - scholarworks.csun.edu
Biology inspired global optimization techniques have been widely studied and are
promising in many engineering design optimizations. These bio-inspired algorithms typically …
promising in many engineering design optimizations. These bio-inspired algorithms typically …