A fuzzy adaptive metaheuristic algorithm for identifying sustainable ...

Structural design of reinforced concrete cantilever retaining walls is studied. •. An adaptive fuzzy-based metaheuristic algorithm is proposed for the above. •.

[2302.00198] A fuzzy adaptive metaheuristic algorithm for identifying ...

Computer Science > Neural and Evolutionary Computing · Title:A fuzzy adaptive metaheuristic algorithm for identifying sustainable, economical, ...

A novel adaptive fuzzy-based metaheuristic is introduced that devises new search components called global learning-based velocity adaptation.

A fuzzy adaptive metaheuristic algorithm for identifying sustainable ...

These constraints and design variables form a constraint optimization problem with a twelve-dimensional solution space. To conduct effective search and produce ...

A Fuzzy Adaptive Metaheuristic Algorithm for Identifying Sustainable ...

A fuzzy adaptive metaheuristic algorithm for identifying sustainable, economical, lightweight, and e... ... In earthquake-prone zones, the seismic performance of ...

A fuzzy adaptive metaheuristic algorithm for identifying sustainable ...

A fuzzy adaptive metaheuristic algorithm for identifying sustainable, economical, lightweight, and earthquake-resistant reinforced concrete cantilever retaining ...

A Fuzzy Adaptive Binary Global Learning Colonization-MLP model ...

A machine learning-based prediction model incorporating a novel fuzzy adaptive global learning binary colonization method for feature selection is proposed, ...

Comparative assessment of deep belief network and hybrid ...

This research aims to investigate the performance of two machine learning methods, the adaptive network-based fuzzy inference system (ANFIS) and the deep ...

An Adaptive Metaheuristic Framework for Changing Environments

The findings show that AMF is a practical solution to dynamic optimization and a major step forward in the creation of algorithms that can ...

An improved adaptive neuro fuzzy inference system model using ...

The A-DEPSO method uses unique mutation and crossover processes to correspondingly boost global and local search mechanisms. It also uses a ...

Metaheuristic algorithms for a sustainable saffron supply chain ...

The authors aimed to minimize total cost, inefficiency centers, and environmental effects. In addition, they suggested a mixed robust-fuzzy method under ...

Efficient multi-objective metaheuristic algorithm for sustainable ...

This study introduces a new multi-objective optimization approach that employs fuzzy logic and multiple objectives to facilitate sustainable harvest planning in ...

Fuzzy Adaptive Teaching Learning‐Based Optimization for Solving ...

The performance of the fuzzy adaptive teaching learning-based optimization is evaluated against other metaheuristic algorithms including basic ...

Meta-heuristic algorithms for solving the sustainable agro-food grain ...

A mixed integer nonlinear programming (MINLP) model is suggested to apprehend the major complications related with two-echelon food grain supply ...

Hybridized Adaptive Neuro-Fuzzy Inference System with ... - MDPI

Again, the results demonstrated the efficiency of the metaheuristic algorithms for the improvement of the accuracy of ANFIS. The ANFIS-WOA performed the best in ...

Hybrid Meta-heuristic Adaptive Fuzzy Inference Systems in Rockfill ...

Deb K, Jain H (2014) An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, Part I: ...

Optimized Adaptive Neuro‐Fuzzy Inference System Using ...

Optimized Adaptive Neuro-Fuzzy Inference System Using Metaheuristic Algorithms: Application of Shield Tunnelling Ground Surface Settlement ...

Adaptive Metaheuristic-Based Methods for Autonomous Robot Path ...

Autonomous mobile robots developed using metaheuristic algorithms are increasingly becoming a hot topic in control and computer sciences. Specifically, finding ...

Ali R. Kashani - dblp

A fuzzy adaptive metaheuristic algorithm for identifying sustainable, economical, lightweight, and earthquake-resistant reinforced concrete ...

Fuzzy logic controller for UAV with gains optimized via genetic ...

A gains optimizer of a fuzzy controller system for an Unmanned Aerial Vehicle (UAV) based on a metaheuristic algorithm is developed in the present ...