A Novel Multi-Objective Harmony Search Algorithm with Pitch Adjustment by Genotype

Molina-Pérez, Daniel; Portilla-Flores, Edgar Alfredo; Vega-Alvarado, Eduardo; Calva-Yáñez, María Barbara; Sepulveda-Cervantes, Gabriel

doi:10.3390/app11198931

Cited by 7 publications

(3 citation statements)

References 38 publications

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“…Although the HS was designed to solve mono-objective optimization problems [ 29 , 30 , 31 ], there are publications proposing and implementing algorithms for a Multiobjective Harmony Search (MOHS), with a growing interest in scientific research [ 32 ]. Two formal proposals are presented by Ricart et al [ 33 ], MOHS1 and MOHS2, which maintain the main characteristics of the original method, but change the ranking of solutions in the harmony memory.…”

Section: Methodsmentioning

confidence: 99%

Multi-Objective Optimization Applied to the Design of Sustainable Pedestrian Bridges

Tres

Piqueras

Medeiros

et al. 2023

IJERPH

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The demand for more sustainable structures has been shown as a growing tendency, and engineers can use optimization techniques to aid in the design and sizing stage, achieving solutions that minimize its cost and environmental and social impacts. In pedestrian bridges, which are subjected to human-induced vibrations, it is also important to ensure the users’ comfort, besides the security verifications. In this context, the objective of this paper is to perform a multi-objective optimization of a steel-concrete composite pedestrian bridge, minimizing cost, carbon dioxide emissions, and vertical acceleration caused by human walking. For this, the Multi-Objective Harmony Search (MOHS) was applied to obtain non-dominated solutions and compose a Pareto Front. Two scenarios were considered with different unit emissions obtained from a life cycle assessment in the literature. Results show that by increasing 15% the structure cost, the vertical acceleration is reduced from 2.5 to 1.0 m/s2. For both scenarios, the optimal ratio for the web height and total span (Le) lies between Le/20 and Le/16. The web height, the concrete strength, and the slab thickness were the design variables with more influence on the value of the vertical acceleration. The Pareto-optimal solutions were considerably sensitive to the parameters varied in each scenario, changing concrete consumption and dimensions of the welded steel I-beam, evidencing the importance of carrying out a sensitivity analysis in optimization problems.

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Section: Methodsmentioning

confidence: 99%

Multi-Objective Optimization Applied to the Design of Sustainable Pedestrian Bridges

Tres

Piqueras

Medeiros

et al. 2023

IJERPH

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“…ey proposed to solve discrete optimization problems with more than three objectives based on non-dominated solution ranking instead of the Pareto approach. Molina-Pérez et al [212] developed multi-objective HS (MOHSg). is method includes a modification in the pitch adjustment step using a crowding distance by genotype to improve the exploration/exploitation balance.…”

Section: Multi-objective Hs Algorithmsmentioning

confidence: 99%

An Overview of the Application of Harmony Search for Chemical Engineering Optimization

Fonseca-Pérez

Del-Mazo-Alvarado

Luna

et al. 2022

International Journal of Chemical Engineering

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Harmony search algorithm and its variants have been used in several applications in medicine, telecommunications, computer science, and engineering. This article reviews the global and multi-objective optimization for chemical engineering using harmony search. The main features of the HS method and several of its popular variants and hybrid versions including their relevant algorithm characteristics are described and discussed. A variety of global and multi-objective optimization problems from chemical engineering and their resolution using HS-based methods are also included. These problems involve thermodynamic calculations (phase stability analysis, phase equilibrium calculations, parameter estimation, and azeotrope calculation), heat exchanger design, distillation simulation, life cycle analysis, and water distribution systems, among others. Remarks on future developments of HS and its related algorithms for global and multi-objective optimization in chemical engineering are also provided in this review. HS is a reliable and promising stochastic optimizer to resolve challenging global and multi-objective optimization problems for process systems engineering.

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“…The MBHS algorithm is a population-based meta-heuristic optimization algorithm and can solve the complex problem to reach the optimal solution. In [65][66][67][68], the MBHS algorithm was developed to reduce the cost by objective function design, where the MBHS in many studies has different objective functions, and developed the combination of the search method with harmony search. The MBHS in our purposed methods is applied to the design as a multi-objective function combined with the identified sequential pattern in shelf layouts to enhance pattern generations with the aid of heuristic algorithms that have defined multi-object functions.…”

Section: Related Workmentioning

confidence: 99%

Multi-Objective Design of Profit Volumes and Closeness Ratings Using MBHS Optimizing Based on the PrefixSpan Mining Approach (PSMA) for Product Layout in Supermarkets

Kaewyotha

Songpan

2021

Applied Sciences

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Product layout significantly impacts consumer demand for purchases in supermarkets. Product shelf renovation is a crucial process that can increase supermarket efficiency. The development of a sequential pattern mining algorithm for investigating the correlation patterns of product layouts, solving the numerous problems of shelf design, and the development of an algorithm that considers in-store purchase and shelf profit data with the goal of improving supermarket efficiency, and consequently profitability, were the goals of this research. The authors of this research developed two types of algorithms to enhance efficiency and reach the goals. The first was a PrefixSpan algorithm, which was used to optimize sequential pattern mining, known as the PrefixSpan mining approach. The second was a new multi-objective design that considered the objective functions of profit volumes and closeness rating using the mutation-based harmony search (MBHS) optimization algorithm, which was used to evaluate the performance of the first algorithm based on the PrefixSpan algorithm. The experimental results demonstrated that the PrefixSpan algorithm can determine correlation rules more efficiently and accurately ascertain correlation rules better than any other algorithms used in the study. Additionally, the authors found that MBHS with a new multi-objective design can effectively find the product layout in supermarket solutions. Finally, the proposed product layout algorithm was found to lead to higher profit volumes and closeness ratings than traditional shelf layouts, as well as to be more efficient than other algorithms.

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A Novel Multi-Objective Harmony Search Algorithm with Pitch Adjustment by Genotype

Cited by 7 publications

References 38 publications

Multi-Objective Optimization Applied to the Design of Sustainable Pedestrian Bridges

Multi-Objective Optimization Applied to the Design of Sustainable Pedestrian Bridges

An Overview of the Application of Harmony Search for Chemical Engineering Optimization

Multi-Objective Design of Profit Volumes and Closeness Ratings Using MBHS Optimizing Based on the PrefixSpan Mining Approach (PSMA) for Product Layout in Supermarkets

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