Journal ArticleDOI
Constraint handling technique for four-bar linkage path generation using self-adaptive teaching–learning-based optimization with a diversity archive
Sujin Bureerat,Suwin Sleesongsom +1 more
TLDR
An alternative constraint handling technique for the four-bar linkage path generation problem is proposed and it is shown that this new design concept gives better results than those of previous work, and that ATLBO-DA is superior to the original version and other metaheuristic algorithms.Abstract:
This article proposes an alternative constraint handling technique for the four-bar linkage path generation problem. The constraint handling technique that is traditionally applied uses an exterior...read more
Citations
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Journal ArticleDOI
A survey on population-based meta-heuristic algorithms for motion planning of aircraft
TL;DR: In this paper, a comprehensive survey on population-based meta-heuristic algorithms for aircraft motion planning is presented, where the authors provide some suggestions on how to select appropriate algorithm for a particular aircraft motion-planning problem.
Journal ArticleDOI
Multiobjective meta-heuristic with iterative parameter distribution estimation for aeroelastic design of an aircraft wing
TL;DR: The concept of using estimation of distribution algorithm for tuning meta-heuristic control parameters is efficient and effective and becomes a new direction for improving MH performance.
Journal ArticleDOI
Multi-Objective Teaching-Learning-Based Optimization for Structure Optimization
TL;DR: A novel multi-objective teaching–learning-based optimization (MOTLBO) based on the framework of non-dominated sorting and solution storage in an external archive is proposed that shows its promise with coherence and diversification of solutions for producing the desired Pareto fronts.
Journal ArticleDOI
Wind farm incorporated optimal power flow solutions through multi-objective horse herd optimization with a novel constraint handling technique
S. Evangeline,P. Rathika +1 more
TL;DR: In this article , a decomposition-based multi-objective horse herd optimization algorithm is proposed to solve the multiobjective optimal power flow problems for wind farm incorporated power systems. But, the proposed algorithm is applied to wind farm-based power systems only.
Journal ArticleDOI
A New Study on Optimization of Four-Bar Mechanisms Based on a Hybrid-Combined Differential Evolution and Jaya Algorithm
TL;DR: In this article , a hybrid-combined differential evolution (DE) and Jaya algorithm was proposed for the dimensional synthesis of four-bar mechanisms with symmetrical motions, called HCDJ.
References
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Journal ArticleDOI
Grey Wolf Optimizer
TL;DR: The results of the classical engineering design problems and real application prove that the proposed GWO algorithm is applicable to challenging problems with unknown search spaces.
Journal ArticleDOI
Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems
TL;DR: The effectiveness of the TLBO method is compared with the other population-based optimization algorithms based on the best solution, average solution, convergence rate and computational effort and results show that TLBO is more effective and efficient than the other optimization methods.
Journal ArticleDOI
SCA: A Sine Cosine Algorithm for solving optimization problems
TL;DR: The SCA algorithm obtains a smooth shape for the airfoil with a very low drag, which demonstrates that this algorithm can highly be effective in solving real problems with constrained and unknown search spaces.
Journal ArticleDOI
Moth-flame optimization algorithm
TL;DR: The MFO algorithm is compared with other well-known nature-inspired algorithms on 29 benchmark and 7 real engineering problems and the statistical results show that this algorithm is able to provide very promising and competitive results.
Journal ArticleDOI
A comparative study of Artificial Bee Colony algorithm
Dervis Karaboga,Bahriye Akay +1 more
TL;DR: Results show that the performance of the ABC is better than or similar to those of other population-based algorithms with the advantage of employing fewer control parameters.