Meta-heuristic optimization algorithms for design of gain constrained state variable filter

Nayak, Byamakesh; Misra, Banishree; Choudhury, Tanmoy Roy

doi:10.1016/j.aeue.2018.05.024

“…The penalty factor is required to be properly incorporated for violation of equality and inequality constraints. There are various types of penalty functions such as static, dynamic, annealing, adaptive, co-evolutionary, and death penalty [60]. The death penalty is the simple and low computational cost method.…”

Section: Resultsmentioning

confidence: 99%

“…Optimization algorithm must have strong enough to solve the number of equalities and none qualities constraint problems. The brief reviews and formulation for solving the engineering optimization problems are discussed and detail can be found in the literature [32,33,[57][58][59][60][61][62][63][64][65][66].…”

Section: Engineering Problemsmentioning

confidence: 99%

“…The rest of the paper is organized in the following manner: Section 2 proposes the Lens Law Optimization with complete mathematical model and update procedures of each particle in the course of iterations. The unimodal, multimodal and composite benchmark functions are considered for validation of proposed algorithm in Section 3 [50][51][52][53][54][55].Besides, the some engineering problems with number of constraints are considered to prove the effectiveness of proposed algorithms [55][56][57][58][59][60][61][62][63][64][65][66] The results obtained are presented and discussed in section-4. Section 5 presents the conclusion of the work.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Lens law based optimization algorithm: a novel approach

Nayak

¹

,

Choudhury

²

2023

Soft Comput

Self Cite

1

0

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This paper explores the physics-based lens formula integrating through a population-based algorithm for solving any optimization problems. The object having multi-dimensional positions is the candidate of a solution of population creates image obstacles by a lens of convex, concave or combination of both. The position of the image is used to update the position of the object. The lens of concave, convex or combination of both emphasizes exploration, exploitation and local optima avoidance of the search space are the main objectives of the population-based optimization algorithms. The image formed by the object is governed by focal length equation which can be changed by defining the several random and adaptive variables to emphasize the exploitation and exploration of the search space. The ability of exploitation, exploration, use of search space, avoidance of local minima and reach to global maxima of the proposed algorithm is verified through unimodal, multimodal and composite benchmark functions. Besides the number of practical engineering problems are also considered for validation of performances of the proposed algorithm.

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“…Optimization algorithm must have strong enough to solve the number of equalities and none qualities constraint problems. The brief reviews and formulation for solving the engineering optimization problems are discussed and detail can be found in the literature [32,33,[57][58][59][60][61][62][63][64][65][66].…”

Section: Engineering Problemsmentioning

confidence: 99%

“…The rest of the paper is organized in the following manner: Section 2 proposes the Lens Law Optimization with complete mathematical model and update procedures of each particle in the course of iterations. The unimodal, multimodal and composite benchmark functions are considered for validation of proposed algorithm in Section 3 [50][51][52][53][54][55].Besides, the some engineering problems with number of constraints are considered to prove the effectiveness of proposed algorithms [55][56][57][58][59][60][61][62][63][64][65][66] The results obtained are presented and discussed in section-4. Section 5 presents the conclusion of the work.…”

Section: Introductionmentioning

confidence: 99%

Lens Law Based Optimization Algorithm: A Novel Approach

Nayak

¹

,

Choudhury

²

2022

Preprint

Self Cite

0

View full text Add to dashboard Cite

This paper explores the physics-based lens formula integrating through a population- based algorithm for solving any optimization problems. The object having multi-dimensional positions is the candidate of a solution of population creates image obstacles by a lens of convex, concave or combination of both. The position of the image is used to update the position of the object. The lens of concave, convex or combination of both emphasizes exploration, exploitation and local optima avoidance of the search space are the main objectives of the population-based optimization algorithms. The image formed by the object is governed by focal length equation which can be changed by defining the several random and adaptive variables to emphasize the exploitation and exploration of the search space. The ability of exploitation, exploration, use of search space, avoidance of local minima and reach to global maxima of the proposed algorithm is verified through unimodal, multimodal and composite benchmark functions. Besides the number of practical engineering problems are also considered for validation of performances of the proposed algorithm.

show abstract