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Parametric Design Optimization in Sustainable Urban Design: In Hot Climate
Published 2012“…This research employs Genetic algorithms as the computational design methodology to achieve parametric design optimization to design for a more sustainable cities and urban. …”
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Fuzzy simulated evolution for power and performance optimization ofVLSI placement
Published 2001“…This is a hard multiobjective combinatorial optimization problem with no known exact and efficient algorithm that can guarantee finding a solution of specific or desirable quality. …”
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Energy removal in dynamical systems through an optimal sequence of constraint application
Published 2017“…The optimization process is illustrated by means of simple mass-spring and membrane systems and the corresponding problems are solved using a genetic algorithm.…”
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66
Gene Selection for Microarray Data Classification based on Grey Wolf Optimizer Enhanced with TRIZ-inspired Operators
Published 2021“…The effectiveness of TRIZ optimization operators in MGWO is evaluated by investigating the convergence behavior of GWO with and without TRIZ optimization operators. …”
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Incremental & classical genetic algorithm. (c2001)
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Genetic algorithms applications in load frequency control
Published 1995“…This paper deals with the application of genetic algorithms for optimizing the parameters of conventional automatic generation control (AGC) systems. …”
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A New Parallel Genetic Algorithm Model
Published 2020“…This paper presents an implementation of three Genetic Algorithm models for solving a reliability optimization problem for a redundancy system with several failure modes, a modification on a parallel a genetic algorithm model and a new parallel genetic algorithm model. …”
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A method for optimizing test bus assignment and sizing for system-on-a-chip
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A modified optimal design of a vibration absorber for ground motion isolation
Published 2014“…The first is based on the genetic algorithm technique and the second on the downhill simplex method. …”
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Combined cycle gas turbine system optimization for extended range electric vehicles
Published 2020“…The two-steps methodology consists of conducting first an exergo-technological analysis using a Non-dominated Sorting Genetic Algorithm to identify the best suitable combined cycle configuration for integration in a series hybrid powertrain. …”
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Multi-Objective Optimization for Food Availability under Economic and Environmental Risk Constraints
Published 2024“…Utilizing these assessments, a multi-objective optimization model is developed and solved using MATLAB (R2018a)’s Genetic Algorithm, aiming to identify optimal suppliers to meet Qatar’s food demand, with consideration of the economic, environmental, and risk factors. …”
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A hybrid model for the optimum integration of renewable technologies in power generation systems
Published 2011“…The main purpose of this work is to assess the unavoidable increase in the cost of electricity of a generation system by the integration of the necessary renewable energy sources for power generation (RES-E) technologies in order for the European Union Member States to achieve their national RES energy target. The optimization model developed uses a genetic algorithm (GA) technique for the calculation of both the additional cost of electricity due to the penetration of RES-E technologies as well as the required RES-E levy in the electricity bills in order to fund this RES-E penetration. …”
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An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling
Published 2016“…The results showed the proposed methodology outperformed existing algorithms in optimizing project durations and resources allocation. …”
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Mobile Energy Storage Systems for Benefit Maximization in Resilient Smart Grids
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doctoralThesis