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A self-adaptive artificial bee colony algorithm based on global best for global optimization

Soft computing (Berlin, Germany), 2018-05, Vol.22 (9), p.2935-2952

2018

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Optimizing connection weights in neural networks using the whale optimization algorithm

Soft computing (Berlin, Germany), 2018-01, Vol.22 (1), p.1-15

2018

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Red deer algorithm (RDA): a new nature-inspired meta-heuristic

Soft computing (Berlin, Germany), 2020-10, Vol.24 (19), p.14637-14665

2020

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An efficient hybrid algorithm based on Water Cycle and Moth-Flame Optimization algorithms for solving numerical and constrained engineering optimization problems

Soft computing (Berlin, Germany), 2019-03, Vol.23 (5), p.1699-1722

2019

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Particle swarm optimization algorithm: an overview

Soft computing (Berlin, Germany), 2018-01, Vol.22 (2), p.387-408

2018

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Hybrid quantum genetic algorithm with adaptive rotation angle for the 0-1 Knapsack problem in the IBM Qiskit simulator

Soft computing (Berlin, Germany), 2023-09, Vol.27 (18), p.13321-13346

2023

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A novel collaborative optimization algorithm in solving complex optimization problems

Soft computing (Berlin, Germany), 2017-08, Vol.21 (15), p.4387-4398

2017

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Butterfly optimization algorithm: a novel approach for global optimization

Soft computing (Berlin, Germany), 2019-02, Vol.23 (3), p.715-734

2019

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m-MBOA: a novel butterfly optimization algorithm enhanced with mutualism scheme

Soft computing (Berlin, Germany), 2020-04, Vol.24 (7), p.4809-4827

2020

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An improved brainstorm optimization using chaotic opposite-based learning with disruption operator for global optimization and feature selection

Soft computing (Berlin, Germany), 2020-09, Vol.24 (18), p.14051-14072

2020

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A novel meta-heuristic optimization method based on golden ratio in nature

Soft computing (Berlin, Germany), 2020, Vol.24 (2), p.1117-1151

2020

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A novel intelligent diagnosis method using optimal LS-SVM with improved PSO algorithm

Soft computing (Berlin, Germany), 2019-04, Vol.23 (7), p.2445-2462

2019

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A novel nature-inspired meta-heuristic algorithm for optimization: bear smell search algorithm

Soft computing (Berlin, Germany), 2020-09, Vol.24 (17), p.13003-13035

Ghasemi-Marzbali, Ali

2020

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Applying genetic algorithm and ant colony optimization algorithm into marine investigation path planning model

Soft computing (Berlin, Germany), 2020-06, Vol.24 (11), p.8199-8210

2020

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A niching chaos optimization algorithm for multimodal optimization

Soft computing (Berlin, Germany), 2018, Vol.22 (2), p.621-633

2018

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Optimum design of shallow foundation using evolutionary algorithms

Soft computing (Berlin, Germany), 2020-05, Vol.24 (9), p.6809-6833

2020

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An improved hybrid grey wolf optimization algorithm

Soft computing (Berlin, Germany), 2019-08, Vol.23 (15), p.6617-6631

2019

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Phasor particle swarm optimization: a simple and efficient variant of PSO

Soft computing (Berlin, Germany), 2019-10, Vol.23 (19), p.9701-9718

2019

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A parallel cooperative hybrid method based on ant colony optimization and 3-Opt algorithm for solving traveling salesman problem

Soft computing (Berlin, Germany), 2018-03, Vol.22 (5), p.1669-1685

2018

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Biogeography-based learning particle swarm optimization

Soft computing (Berlin, Germany), 2017-12, Vol.21 (24), p.7519-7541

2017

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Study on sampling-based discrete noniterative algorithms for centroid type-reduction of interval type-2 fuzzy logic systems

Soft computing (Berlin, Germany), 2020-08, Vol.24 (15), p.11819-11828

Chen, Yang

2020

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Design of fuzzy logic system framework using evolutionary techniques

Soft computing (Berlin, Germany), 2020-03, Vol.24 (6), p.4455-4468

2020

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River flow prediction using hybrid PSOGSA algorithm based on feed-forward neural network

Soft computing (Berlin, Germany), 2019-10, Vol.23 (20), p.10429-10438

2019

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Multi-objective optimal power flow solutions using a constraint handling technique of evolutionary algorithms

Soft computing (Berlin, Germany), 2020-02, Vol.24 (4), p.2999-3023

2020

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An efficient hybrid multilayer perceptron neural network with grasshopper optimization

Soft computing (Berlin, Germany), 2019-09, Vol.23 (17), p.7941-7958

2019

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A self-adaptive artificial bee colony algorithm based on global best for global optimization

Optimizing connection weights in neural networks using the whale optimization algorithm

Red deer algorithm (RDA): a new nature-inspired meta-heuristic

An efficient hybrid algorithm based on Water Cycle and Moth-Flame Optimization algorithms for solving numerical and constrained engineering optimization problems

Particle swarm optimization algorithm: an overview

Hybrid quantum genetic algorithm with adaptive rotation angle for the 0-1 Knapsack problem in the IBM Qiskit simulator

A novel collaborative optimization algorithm in solving complex optimization problems

Butterfly optimization algorithm: a novel approach for global optimization

m-MBOA: a novel butterfly optimization algorithm enhanced with mutualism scheme

An improved brainstorm optimization using chaotic opposite-based learning with disruption operator for global optimization and feature selection

A novel meta-heuristic optimization method based on golden ratio in nature

A novel intelligent diagnosis method using optimal LS-SVM with improved PSO algorithm

A novel nature-inspired meta-heuristic algorithm for optimization: bear smell search algorithm

Applying genetic algorithm and ant colony optimization algorithm into marine investigation path planning model

A niching chaos optimization algorithm for multimodal optimization

Optimum design of shallow foundation using evolutionary algorithms

An improved hybrid grey wolf optimization algorithm

Phasor particle swarm optimization: a simple and efficient variant of PSO

A parallel cooperative hybrid method based on ant colony optimization and 3-Opt algorithm for solving traveling salesman problem

Biogeography-based learning particle swarm optimization

Study on sampling-based discrete noniterative algorithms for centroid type-reduction of interval type-2 fuzzy logic systems

Design of fuzzy logic system framework using evolutionary techniques

River flow prediction using hybrid PSOGSA algorithm based on feed-forward neural network

Multi-objective optimal power flow solutions using a constraint handling technique of evolutionary algorithms

An efficient hybrid multilayer perceptron neural network with grasshopper optimization

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