Journal ArticleDOI
A new hybrid Harris hawks-Nelder-Mead optimization algorithm for solving design and manufacturing problems
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This paper is the first research study in which both the Harris hawks optimization algorithm and the H-HHONM are applied for the optimization of process parameters in milling operations.Abstract:
In this paper, a novel hybrid optimization algorithm (H-HHONM) which combines the Nelder-Mead local search algorithm with the Harris hawks optimization algorithm is proposed for solving re...read more
Citations
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A multi-layered gravitational search algorithm for function optimization and real-world problems
TL;DR: Inspired by the two-layered structure of GSA, four layers consisting of population, iteration-best, personal-best and global-best layers are constructed and dynamically implemented in different search stages to greatly improve both exploration and exploitation abilities of population.
Journal ArticleDOI
A novel hybrid Harris hawks-simulated annealing algorithm and RBF-based metamodel for design optimization of highway guardrails
TL;DR: The optimum design of a guardrail is obtained, which has a minimum weight and acceleration severity index value (ASI), showing that the HHOSA is a highly effective approach for optimizing real-world design problems.
Journal ArticleDOI
An efficient hybrid sine-cosine Harris hawks optimization for low and high-dimensional feature selection
TL;DR: The extensive experimental and statistical analyses suggest that the proposed hybrid variant of HHO is able to produce effcient search results without additional computational cost.
Journal ArticleDOI
MOSMA: Multi-Objective Slime Mould Algorithm Based on Elitist Non-Dominated Sorting
TL;DR: In this article, a multi-objective slime mould algorithm (MOSMA) is proposed to solve the problem of multiobjective optimization problems in industrial environment by incorporating the optimal food path using the positive negative feedback system.
Journal ArticleDOI
Comparison of recent optimization algorithms for design optimization of a cam-follower mechanism
TL;DR: Seven recent meta-heuristic optimization algorithms to automate design of disk cam mechanism with translating roller follower regarding four follower motion laws indicate that they are very competitive in structural design optimization, especially MBA, ER-WCA, MFO and GWO techniques.
References
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Journal ArticleDOI
A simplex method for function minimization
John A. Nelder,R. Mead +1 more
TL;DR: A method is described for the minimization of a function of n variables, which depends on the comparison of function values at the (n 41) vertices of a general simplex, followed by the replacement of the vertex with the highest value by another point.
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.
Proceedings ArticleDOI
Flocks, herds and schools: A distributed behavioral model
TL;DR: In this article, an approach based on simulation as an alternative to scripting the paths of each bird individually is explored, with the simulated birds being the particles and the aggregate motion of the simulated flock is created by a distributed behavioral model much like that at work in a natural flock; the birds choose their own course.
Proceedings ArticleDOI
Cuckoo Search via Lévy flights
Xin-She Yang,Suash Deb +1 more
TL;DR: A new meta-heuristic algorithm, called Cuckoo Search (CS), is formulated, based on the obligate brood parasitic behaviour of some cuckoo species in combination with the Lévy flight behaviour ofSome birds and fruit flies, for solving optimization problems.
Journal ArticleDOI
An efficient constraint handling method for genetic algorithms
TL;DR: GA's population-based approach and ability to make pair-wise comparison in tournament selection operator are exploited to devise a penalty function approach that does not require any penalty parameter to guide the search towards the constrained optimum.