Modification of Ground Motions Using Enhanced Colliding Bodies Optimization Algorithm

2016 ◽  
pp. 213-234 ◽  
Author(s):  
A. Kaveh
Keyword(s):  
Optimization Algorithm ◽  
Ground Motions ◽  
Colliding Bodies Optimization ◽  
Enhanced Colliding Bodies Optimization

Chaotic enhanced colliding bodies optimization algorithm for structural reliability analysis

2019 ◽  
Vol 23 (3) ◽  
pp. 438-453
Author(s):  
Jiaming Cheng ◽  
Wei Zhao
Keyword(s):  
Reliability Analysis ◽  
Heuristic Algorithm ◽  
Optimization Algorithm ◽  
Structural Reliability ◽  
Chaotic Maps ◽  
Optimization Approach ◽  
Structural Reliability Analysis ◽  
Colliding Bodies Optimization ◽  
Enhanced Colliding Bodies Optimization ◽  
Reliability Method

It is of extreme importance to assess the failure probability and safety level of structural system in structural design. Nowadays, many researchers presented several approaches for structural reliability analysis, such as the first-order reliability method, Monte Carlo simulation, and the meta-heuristic algorithm. The meta-heuristic algorithm is not only efficient to solve global optimization problems but also shown to be an effective tool for structural reliability analysis. A recent meta-heuristic optimization approach, enhanced colliding bodies optimization, has emerged as a relatively simple implementation with a fast convergence speed. Chaos theory is characterized by its ergodicity, pseudo-randomness, and irregularity. This article thus presents a novel approach introducing chaotic maps into the enhanced colliding bodies optimization algorithm to promote the performance of convergence, named as chaotic enhanced colliding bodies optimization algorithm. The proposed algorithm uses chaotic maps to change the generation pattern of particles and improve convergence characteristics. A procedure based on the effective use of the represented chaotic enhanced colliding bodies optimization is then applied in structural reliability analysis. A variety of numerical and structural problems are tested in this article to demonstrate that the given method actually improves the performance of enhanced colliding bodies optimization in convergence as well as the accuracy for reliability analysis compared with the other methods existing in the literature.

Enhanced Colliding Bodies Optimization Towards the Solution of Economic Load Dispatch Problem

2021 ◽  
Vol 8 (2) ◽  
pp. 72-90
Author(s):  
Sujoy Das ◽  
Asmita Roy ◽  
Nishat Das ◽  
Sanjukta Choudhury
Keyword(s):  
Cost Function ◽  
Optimization Algorithm ◽  
Economic Load Dispatch ◽  
Fuel Cost ◽  
Parametric Test ◽  
One Dimensional ◽  
Colliding Bodies Optimization ◽  
Enhanced Colliding Bodies Optimization ◽  
Generation Cost ◽  
Simulation Time

This paper proposes application of enhanced colliding bodies optimization algorithm (ECBO) for solving the economic load dispatch problem, which aims to get minimum generation cost through economic scheduling of generating unit. The algorithm is a novel efficient optimization algorithm, and its idea is attained from collisions, which are one-dimensional between two or more bodies. Each agent involved in this collision is shaped as a body having defined mass and defined velocity. To analyze the performance of the proposed method, it is tested on four different test systems consisting of 3, 5, 13, and 18 generating units. Both convex and non-convex fuel cost function have been considered. Numerical results have been compared with various well-known algorithms. A significant improvement in the results has been observed. It has been farther noted that an average 5.1% better results were provided by ECBO in terms of generation cost compared to other algorithms. Moreover, the simulation time is also improved. Besides this, Kruskal-Wallis non-parametric test has been performed.

scholarly journals Optimal placement of distributed generation using colliding bodies optimization

2018 ◽  
Vol 7 (3.3) ◽  
pp. 168
Author(s):  
Gera Kalidas Babu ◽  
P V. Ramana rao
Keyword(s):  
Distributed Generation ◽  
Optimization Algorithm ◽  
Distribution Networks ◽  
Optimal Placement ◽  
Solar Photovoltaic ◽  
Load Power ◽  
Colliding Bodies Optimization ◽  
Power Loss Reduction ◽  
Radial Distribution Networks ◽  
Distribution Generation

The present paper foremost objective is to resolve best practicable location of solar photovoltaic distribution generation (DG) of several cases using different distribution load power factors and to analyze power loss reduction. This objective achieved by a recent developed method, the so called colliding bodies’ optimization algorithm, to perceive optimum location. Performances of colliding bodies’ optimization algorithm have been evaluated and compared with other search algorithms. The execution to test viability and efficiency, the proposed collid-ing bodies’ optimization is simulated on standard IEEE 38 bus radial distribution networks. The acquired outcome from colliding bodies Optimization algorithm exhibits the possible location of distributed generation through different pre assumed load power factors compared to the other stochastic search bat and genetic algorithm.  

scholarly journals Optimization of Interplanetary Trajectories Using the Colliding Bodies Optimization Algorithm

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Marco Del Monte ◽  
Raffaele Meles ◽  
Christian Circi
Keyword(s):  
Optimization Algorithm ◽  
Mechanical Engineering ◽  
Initial Conditions ◽  
Metaheuristic Algorithm ◽  
Simple Formulation ◽  
Planar Case ◽  
Orbital Transfer ◽  
Colliding Bodies Optimization ◽  
The Earth ◽  
Interplanetary Trajectories

In this paper, a recent physics-based metaheuristic algorithm, the Colliding Bodies Optimization (CBO), already employed to solve problems in civil and mechanical engineering, is proposed for the optimization of interplanetary trajectories by using both indirect and direct approaches. The CBO has an extremely simple formulation and does not depend on any initial conditions. To test the performances of the algorithm, missions with remarkably different orbital transfer energies are considered: from the simple planar case, as the Earth-Mars orbital transfer, to more energetic ones, like a rendezvous with the asteroid Pallas.

scholarly journals Prof. Comparing H2 and H∞ Algorithms for Optimum Design of Tuned Mass Dampers under Near-Fault and Far-Fault Earthquake Motions

2020 ◽  
Author(s):  
Ali Kaveh ◽  
Mazyar Fahimi Fazam ◽  
Rasool Maroofiazar
Keyword(s):  
Objective Function ◽  
Optimum Design ◽  
Ground Motions ◽  
Optimization Technique ◽  
Large Set ◽  
Near Fault ◽  
Colliding Bodies Optimization ◽  
Controlled Structure ◽  
Robust Optimum Design ◽  
Far Fault

In this study, the robust optimum design of Tuned Mass Damper (TMD) is established. The H2 and H∞ norm of roof displacement transfer function are implemented and compared as the objective functions under Near-Fault (NF) and Far-Fault (FF) earthquake motions. Additionally, the consequences of different characteristics of NF ground motions such as forward-directivity and fling-step are investigated on the behavior of a benchmark 10-story controlled structure. The Colliding Bodies Optimization (CBO) is employed as an optimization technique to calculate the optimum parameters of the TMDs. The resulting statistical assessment shows that the H∞ objective function is rather superior to H2 objective function for optimum design of TMDs under NF and FF earthquake excitations. Finally, the robustness of the designed TMDs is evaluated under a large set of natural ground motions.

An enhanced colliding bodies optimization and its application

2019 ◽  
Vol 53 (2) ◽  
pp. 1127-1186
Author(s):  
Debao Chen ◽  
Renquan Lu ◽  
Suwen Li ◽  
Feng Zou ◽  
Yajun Liu
Keyword(s):  
Colliding Bodies Optimization ◽  
Enhanced Colliding Bodies Optimization
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