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A novel hybrid fuzzy–metaheuristic approach for multimodal single ...


A novel hybrid fuzzy–metaheuristic approach for multimodal single ...

This study proposes a novel fuzzy adaptive and enhanced ICA (FAEICA) based on two approaches: single-objective and multi-objective. The single- ...

A novel hybrid fuzzy–metaheuristic approach for multimodal single ...

In this paper, we propose a novel hybrid fuzzy–metaheuristic approach with the aim of overcoming premature convergence when solving multimodal single and multi ...

A Novel Hybrid Fuzzy–Metaheuristic Approach for Multimodal Single ...

... A hybrid global criterion method is proposed to solve the problem in multiple periods. Keivanian and Chiong (2022) proposed a fuzzy meta-heuristic approach ...

A novel hybrid fuzzy–metaheuristic approach for multimodal single ...

The metaheuristic algorithm used in our proposed approach is based on the imperialist competitive algorithm (ICA), a population-based method for optimization.

A novel hybrid fuzzy–metaheuristic approach for multimodal single ...

In this paper, we propose a novel hybrid fuzzy–metaheuristic approach with the aim of overcoming premature convergence when solving multimodal single and ...

FarshidKeivanian/A-novel-hybrid-fuzzy-metaheuristic-approach-for ...

Citation: Keivanian, F., & Chiong, R. (2022). A novel hybrid fuzzy–metaheuristic approach for multimodal single and multi-objective optimization problems.

A novel hybrid fuzzy metaheuristic approach for multimodal single ...

... a novel hybrid fuzzy metaheuristic approach with the aim of overcoming premature convergence when solving multimodal single and multi-objective optimization ...

A novel hybrid fuzzy–metaheuristic approach for multimodal single ...

Publications that cite this publication · An Improved Pity Beetle Algorithm for Solving Constrained Engineering Design Problems · An improved differential ...

A Novel Hybrid Fuzzy–Metaheuristic Approach for Multimodal Single ...

Novel intelligent algorithms that can solve optimization and prediction problems from single and multi-objective perspectives.

A novel hybrid fuzzy–metaheuristic approach for multimodal single ...

TL;DR: In this paper , a hybrid fuzzy-metaheuristic approach is proposed to overcome premature convergence when solving multimodal single and ...

A novel hybrid fuzzy–metaheuristic approach for multimodal single ...

Fingerprint. Dive into the research topics of 'A novel hybrid fuzzy–metaheuristic approach for multimodal single and multi-objective optimization problems'.

A Novel Hybrid Fuzzy-Metaheuristic Strategy for Estimation of ...

A hybrid fuzzy-metaheuristic method to estimate the optimal size and Location of DG units in the power network to achieve the active and ...

A novel hybrid fuzzy–metaheuristic approach for multimodal single ...

A novel hybrid fuzzy–metaheuristic approach for multimodal single and multi-objective optimization problems · About this Attention Score · Mentioned by · Citations.

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Item View & Download Statistics: A novel hybrid fuzzy–metaheuristic approach for multimodal single and multi-objective optimization problems. From: ever To ...

A Novel Approach Using Sphere Complex Fuzzy Sets

Hybrid Metaheuristic Optimization for Neuro-Fuzzy Multi-Target Prediction — A Novel Approach Using Sphere Complex Fuzzy Sets · Li Yang Chen.

A fuzzy adaptive metaheuristic algorithm for identifying sustainable ...

A novel hybrid fuzzy-metaheuristic approach for multimodal single and multi-objective optimization problems · Farshid KeivanianR. Chiong. Computer Science ...

An Enhanced Fuzzy Hybrid of Fireworks and Grey Wolf ... - MDPI

The proposed method presents better performance with 60 and 90 dimensions, averaging 51% and 58% improvement in the benchmark functions, respectively. And then, ...

A novel fuzzy metaheuristic approach in nurse rerostering problem

The proposed model introduces and combines two different metaheuristics techniques in decision-making in modelling NRRP: (i) fuzzy OWA approach ...

‪Farshid Keivanian‬ - ‪Google Scholar‬

A novel hybrid fuzzy–metaheuristic approach for multimodal single and multi-objective optimization problems. F Keivanian, R Chiong. Expert Systems with ...

A Hybrid Fuzzy-Firefly Approach for Rule-Based Classification

The two important components of any meta- heuristic algorithms are: selection of the best solution and randomization. The selection of the best ensures that the.