Nature Inspired Optimization Algorithms and Their Performance on the Solution of Nonlinear Equation SystemsPakize Erdomu
Optimization Polymer flooding Enhanced Oil Recovery Nature inspired algorithms 1. Introduction 1.1. Nature inspired algorithms Nature provides an enormous source of mechanisms, principles and concepts for designing artificial computational methods to solve complex engineering optimization problems (Yang, 2010)....
The simulation-driven metaheuristic algorithms have been successful in solving numerous problems compared to their deterministic counterparts. Despite this advantage, the stochastic nature of such algorithms resulted in a spectrum of solutions by a certain number of trials that may lead to the uncertainty...
Performance metrics are essential for quantifying the performance of optimization algorithms in the field of evolutionary multi-objective optimization. Such metrics allow researchers to compare different algorithms quantitatively. In the field of robust multi-objective optimization, however, there is currently...
Choosing your algorithms further limits performance. Selecting interface contracts between various sub-components constrains performance still further. It is critical that you understand the costs of each of these early design decisions and make wise ones. Design is an iterative...
-O2: Enables more aggressive optimization, including inlining functions, loop optimizations, and better code scheduling. It provides a significant performance boost. -O3: Enables even more aggressive optimizations. It can lead to faster code but may increase compilation time and the size of the execu...
Particle swarm optimization (PSO) is population-based algorithms that generate and use random variables. This algorithm has been spired by the collective behavior of animals like the group of birds or fishes. In this method the population of animals and the candidate solutions are known as swarm...
Role of optimization algorithms based fuzzy controller in achieving induction motor performance enhancement M. A. Hannan, Jamal Abd. Ali, M. S. Hossain Lipu, A. Mohamed, Pin Jern Ker, T. M. Indra Mahlia, M. Mansor, Aini Hussain, Kashem M. Muttaqi & Z. Y. Dong Nature ...
Performance optimization of parallel manipulators (PMs) have attracted adequate attention in recent years. It mainly concerns performance indices, optimization algorithms and optimization methods. This paper presents an in-depth, comprehensive, reasoned overview for the three basic issues. The research statu...
GPU-accelerated math libraries maximize performance on common HPC algorithms, and optimized communications libraries enable standards-based multi-GPU and scalable systems programming. Performance profiling and debugging tools simplify porting and optimization of HPC applications, and containerization tools enable...