A5100659963- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Advanced Multi-Objective Optimization Algorithms
- Electric Power System Optimization
- Optimal Power Flow Distribution
- Innovative concrete reinforcement materials
- Energy Load and Power Forecasting
- Fuzzy Logic and Control Systems
- Asphalt Pavement Performance Evaluation
- Geotechnical Engineering and Soil Stabilization
- Concrete and Cement Materials Research
- Grouting, Rheology, and Soil Mechanics
- Fire effects on concrete materials
- Microgrid Control and Optimization
- Optimization and Packing Problems
- Advanced Manufacturing and Logistics Optimization
- Structural Behavior of Reinforced Concrete
- Landfill Environmental Impact Studies
- Advanced Control Systems Optimization
- Scheduling and Optimization Algorithms
- Groundwater and Watershed Analysis
- Infrastructure Maintenance and Monitoring
- Power System Optimization and Stability
- Vibration Control and Rheological Fluids
- Transboundary Water Resource Management
Shiraz University of Technology
2014-2024
K.N.Toosi University of Technology
2021
Graduate University of Advanced Technology
2017-2019
Damghan University
2016
Shahid Bahonar University of Kerman
2013-2015
The optimization problems are becoming more complicated, requiring new and efficient techniques to solve them. Many bio-inspired meta-heuristic algorithms have emerged in the last decade these complex as most of may be trapped into local optima could not effectively all types problems. Hence, researchers still trying develop better algorithms. This paper introduces a novel biologically-based algorithm called circulatory system-based (CSBO). CSBO is modeled based on function body's blood...
Lime treatment is extensively used to improve the properties of soft and weak soils. One most important reasons for using lime reduce swelling behaviour clay soil. The reaction quicklime (CaO) with water, forms hydrated (slaked) (Ca(OH)2) therefore are improved by creation extra bonds. Increasing brittleness stabilised major shortcoming lime. Therefore, aim this study investigate effects curing time on geotechnical kaolinitic geogrids. At first, different percentages (3, 5, 8%) were mixed...
This paper proposes a novel particle swarm optimization (PSO) algorithm with population reduction, which is called modified new self-organizing hierarchical PSO jumping time-varying acceleration coefficients (MNHPSO-JTVAC). The proposed method used for solving well-known benchmark functions, as well non-convex and non-smooth dynamic economic dispatch (DED) problems 24 h time interval in two different test systems. Operational constraints including the prohibited operating zones (POZs),...
Without doubt, one of the powerful and effective optimiser in area evolutionary algorithms improved particle swarm optimisation (PSO) is self‐organising hierarchical PSO with time‐varying acceleration coefficients (HPSO‐TVAC) which has been implemented successfully many problems (cited by 2430 until now). Real‐world are multi‐variable real‐world different complexities. The classical HPSO‐TVAC technique often converges to local optima solution for some problems. Therefore, finding efficient...
This paper presents a new efficient algorithm inspired by Franklin's and Coulomb's laws theory that is referred to as CFA algorithm, for finding the global solutions of optimal economic load dispatch problems in power systems. based on impact electrically charged particles each other due electrical attraction repulsion forces. The effectiveness different terms tested basic benchmark problems. Then, quality achieve accurate results aspects examined proven including 4 size cases, 6, 10, 15,...
Many important engineering optimization problems require a strong and simple algorithm to achieve the best solutions. In 2020, Rao introduced three non-parametric algorithms, known as which have garnered significant attention from researchers worldwide due their simplicity effectiveness in solving problems. our simulation studies, we developed new version of called Fully Informed Search Algorithm (FISA), demonstrates acceptable performance optimizing real-world while maintaining nature...
Differential evolution (DE) belongs to the most usable optimization algorithms, presented in many improved and modern versions recent years. Generally, low convergence rate is main drawback of DE algorithm. In this article, gray wolf optimizer (GWO) used accelerate final optimal results The new resulting algorithm called Hunting Evolution (HDE). proposed HDE deploys speed GWO as well appropriate searching capability Furthermore, by adjusting crossover mutation probability parameters, can be...
The present study investigates the soil-structure interaction (SSI) effects on seismic performance of smart base-isolated structures. adopted control algorithm for tuning force plays a key role in successful implementation such structures; however, most studied carried out literature, these algorithms are designed without considering SSI effect. Considering effects, linear quadratic regulator (LQR) controller is employed to structure. A particle swarm optimization (PSO) used tune gain matrix...