Results 41 to 50 of about 66,599 (198)

A Formulation for the Stochastic Multi-Mode Resource-Constrained Project Scheduling Problem Solved with a Multi-Start Iterated Local Search Metaheuristic

open access: yesMathematics, 2023
This research introduces a stochastic version of the multi-mode resource-constrained project scheduling problem (MRCPSP) and its mathematical model. In addition, an efficient multi-start iterated local search (MS-ILS) algorithm, capable of solving the ...
Alfredo S. Ramos   +3 more
doaj   +1 more source

Efficiency Analysis of Swarm Intelligence and Randomization Techniques [PDF]

open access: yes, 2012
Swarm intelligence has becoming a powerful technique in solving design and scheduling tasks. Metaheuristic algorithms are an integrated part of this paradigm, and particle swarm optimization is often viewed as an important landmark.
Yang, Xin-She
core   +1 more source

Metaheuristics in applied geophysics

open access: yesPamukkale University Journal of Engineering Sciences, 2016
In this study, four metaheuristic algorithms including particle swarm optimization (PSO), genetic algorithm (GA), differential evolution (DE) and simulated annealing (SA) were used for one-, two-and threedimensional (1D, 2D and 3D) geophysical inverse problems.
BALKAYA, ÇAĞLAYAN   +3 more
openaire   +5 more sources

Hybrid Genetic Algorithm and Tabu Search for Solving Preventive Maintenance Scheduling Problem for Cogeneration Plants

open access: yesMathematics
Preventive Maintenance (PM) is a periodic maintenance strategy that has great results for devices in extending their lives, increasing productivity, and, most importantly, helping to avoid unexpected breakdowns and their costly consequences.
Khaled Alhamad, Yousuf Alkhezi
doaj   +1 more source

Teaching–Learning Optimization Algorithm Based on the Cadre–Mass Relationship with Tutor Mechanism for Solving Complex Optimization Problems

open access: yesBiomimetics, 2023
The teaching–learning-based optimization (TLBO) algorithm, which has gained popularity among scholars for addressing practical issues, suffers from several drawbacks including slow convergence speed, susceptibility to local optima, and suboptimal ...
Xiao Wu   +3 more
doaj   +1 more source

A comparison of general-purpose optimization algorithms forfinding optimal approximate experimental designs [PDF]

open access: yes, 2019
Several common general purpose optimization algorithms are compared for findingA- and D-optimal designs for different types of statistical models of varying complexity,including high dimensional models with five and more factors.
Garcia-Garcia, Jose Carlos   +4 more
core  

Optimal Network Reconfiguration and Power Curtailment of Renewable Energy Sources to Eliminate Overloads of Power Lines

open access: yesEnergies
The increasing number of renewable energy sources in power systems contributes to overloads of power lines in emergency situations. Lines made with relatively small cross-section cables, which in the past were designed for an operating temperature of 40 °
Paweł Pijarski   +4 more
doaj   +1 more source

Metaheuristic Optimization Algorithms Hybridized With Artificial Intelligence Model for Soil Temperature Prediction: Novel Model

open access: yesIEEE Access, 2020
An enhanced hybrid artificial intelligence model was developed for soil temperature (ST) prediction. Among several soil characteristics, soil temperature is one of the essential elements impacting the biological, physical and chemical processes of the ...
Liu Penghui   +8 more
doaj   +1 more source

A New Cooperative Framework for Parallel Trajectory-Based Metaheuristics

open access: yes, 2018
In this paper, we propose the Parallel Elite Biased framework (PEB framework) for parallel trajectory-based metaheuristics. In the PEB framework, multiple search processes are executed concurrently.
Shi, Jialong, Zhang, Qingfu
core   +1 more source

A Bilevel Optimization Approach for Tuning a Neuro-Fuzzy Controller

open access: yesApplied Sciences
This work presents a methodology to solve optimization problems with dynamic-size solution vectors containing continuous and integer variables. It is achieved by reformulating the original problem through a bilevel optimization approach and implementing ...
Raúl López-Muñoz   +4 more
doaj   +1 more source

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