-
201
-
202
Evolutionary algorithms, simulated annealing and tabu search: a comparative study
Published 2020“…Abstract Evolutionary algorithms, simulated annealing (SA), and tabu search (TS) are general iterative algorithms for combinatorial optimization. …”
Get full text
article -
203
Dynamic performance evaluation and machine learning-assisted optimization of a solar-driven system integrated with PCM-based thermal energy storage: A case study approach
Published 2025“…<p>This paper presents the design, modeling, and multi-objective optimization of an advanced solar energy system based on concentrated solar power technology, aimed at sustainable electricity generation in urban environments. …”
-
204
A new multiobjective evolutionary algorithm forenvironmental/economic power dispatch
Published 2001“…A new nondominated sorting genetic algorithm (NSGA) based approach is proposed to handle the problem as a true multiobjective optimization problem with competing and noncommensurable objectives. …”
Get full text
Get full text
article -
205
Evolutionary algorithms for state justification in sequential automatic test pattern generation
Published 2005“…Evolutionary algorithms have been effective in solving many search and optimization problems. …”
Get full text
article -
206
-
207
A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems
Published 2024“…The ES algorithm begins with a random initial solution and uses an insertion mutation to optimize the solution. …”
-
208
Metaheuristic algorithm for testing web 2.0 applications. (c2012)
Published 2012Get full text
Get full text
masterThesis -
209
A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models
Published 2010“…In this work, we present a genetic algorithm to optimize predictive models used to estimate software quality characteristics. …”
Get full text
Get full text
Get full text
article -
210
A stochastic iterative learning control algorithm with application to an induction motor
Published 2004“…A recursive optimal algorithm, based on minimizing the input error covariance matrix, is derived to generate the learning gain matrix of a P-type ILC for linear discrete-time varying systems with arbitrary relative degree. …”
Get full text
Get full text
Get full text
Get full text
article -
211
Stochastic P-type/D-type iterative learning control algorithms
Published 2003“…The optimal algorithm is based on minimizing the trace of the input error covariance matrix. …”
Get full text
Get full text
Get full text
Get full text
article -
212
On Higher-Order Iterative Learning Control Algorithm in Presence of Measurement Noise
Published 2005“…Furthermore, a suboptimal second-order ILC is proposed for a class of nonlinear systems. Based on a numerical example, it is shown that a compatible suboptimal first-order ILC yields better performance than the proposed suboptimal second-order ILC algorithm.…”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
213
Optimizing overheating, lighting, and heating energy performances in Canadian school for climate change adaptation: Sensitivity analysis and multi-objective optimization methodolog...
Published 2023“…This paper aims to develop long-term adaptation strategies for the existing Canadian school buildings under extreme current and future climates using a developed methodology based on global and local sensitivity analysis and Multi-Objective Optimization Genetic Algorithm. …”
Get full text
Get full text
Get full text
-
214
Experimental Investigation and Comparative Evaluation of Standard Level Shifted Multi-Carrier Modulation Schemes With a Constraint GA Based SHE Techniques for a Seven-Level PUC Inv...
Published 2019“…Different standard multicarrier sinusoidal pulse-width modulation techniques (SPWMs) are adapted for the generation of switching gate signals for the PUC power switches, and these SPWMs are compared with novel optimization-based selective harmonic elimination (SHE) that employs genetic algorithm (GA) for solving nonlinear SHE equation with a constraint that eliminated all third-order harmonics efficiently. …”
-
215
An Optimization Approach For The Computation Of The Minimum Destabilizing Uncertainty Volume
Published 2020“…In this paper we propose an non-linear optimization based algorithm for the computation of the stability region for uncertain polynomials. …”
Get full text
article -
216
Particle swarm optimization for multimachine power systemstabilizer design
Published 2001“…In this paper, a novel evolutionary algorithm based approach to optimal design of multimachine power system stabilizers (PSSs) is proposed. …”
Get full text
Get full text
article -
217
Optimal Routing Protocol in Multimedia Wireless Sensor Networks
Published 2011Get full text
doctoralThesis -
218
-
219
A new tabu search algorithm for the long-term hydro scheduling problem
Published 2002“…The algorithm is based on using the short-term memory of the tabu search (TS) approach to solve the nonlinear optimization problem in continuous variables of the LTHSP. …”
Get full text
Get full text
article -
220
