Search Results - (( evolution optimization new algorithm ) OR ( evolution optimization strategy algorithm ))
Search alternatives:
- evolution optimization »
- strategy algorithm »
- optimization new »
- new algorithm »
-
1
Broadening selection competitive constraint handling algorithm for faster convergence
Published 2020“…In this study, the BSCCH algorithm has been coupled with Differential Evolution algorithm as a proof of concept because it is found to be an efficient algorithm in the literature for constrained optimization problems. …”
Get full text
Get full text
Article -
2
A New Co-Evolution Binary Particle Swarm Optimization With Multiple Inertia Weight Strategy For Feature Selection
Published 2019“…Hence, a new co-evolution binary particle swarm optimization with a multiple inertia weight strategy (CBPSO-MIWS) is proposed in this work. …”
Get full text
Get full text
Get full text
Article -
3
Optimized differential evolution algorithm for linear frequency modulation radar signal denoising
Published 2013“…The main contention of this thesis is to investigate the development of new optimization technique based on Differential Evolution algorithm (DE), applied for radar signal denoising application. …”
Get full text
Get full text
Thesis -
4
Heat exchanger network optimization using differential evolution with stream splitting
Published 2014“…This article introduces a new strategy for HEN optimization using differential evolution algorithm. …”
Get full text
Get full text
Article -
5
Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh
Published 2015“…Differential evolution (DE) is a simple yet powerful evolutionary algorithm (EA). …”
Get full text
Get full text
Thesis -
6
Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy
Published 2018“…A trend that has emerged recently is to make the algorithm parameters automatically adapt to different problems during optimization, thereby liberating the user from the tedious and time-consuming task of manual setting. …”
Get full text
Get full text
Article -
7
-
8
Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets
Published 2019“…A new self-adaptive hybrid algorithm (CSCMAES) is introduced for optimization. …”
Get full text
Get full text
Thesis -
9
Gradient-based mutation manta ray foraging optimization (gbm-mrfo) for solving constrained real-world problems
Published 2022“…In this paper, a new variant of Manta Ray Foraging Optimization (MRFO) algorithm is introduced to deal with real parameter constrained optimization problem. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
10
The ANFIS Handover Trigger Scheme: The Long Term Evolution (LTE) Perspective
Published 2014“…This paper will introduce the use of the adaptive neuro-fuzzy inference system (ANFIS) to provide not only flexibility to LTE for initial deployment, but also the adaptive capability to optimize the efficiency of the handover algorithm with minimal human interference…”
Get full text
Get full text
Conference or Workshop Item -
11
A hyper-heuristic based strategy for image segmentation using multilevel thresholding
Published 2025“…The experimental results, supported by statistical evidence, demonstrate the superiority of the new EMCQ-based image segmentation strategy in terms of attaining optimal threshold values with balanced exploitation and exploration operations.…”
Get full text
Get full text
Get full text
Article -
12
A hyper-heuristic based strategy for image segmentation using multilevel thresholding
Published 2025“…The experimental results, supported by statistical evidence, demonstrate the superiority of the new EMCQ-based image segmentation strategy in terms of attaining optimal threshold values with balanced exploitation and exploration operations.…”
Get full text
Get full text
Get full text
Article -
13
A comparative study for parameter selection in online auctions
Published 2009“…Hence, this work attempts to improve an existing bidding strategy by taking into accounts the evolution of various model of generic algorithm in optimizing the parameter of the bidding strategies. …”
Get full text
Get full text
Get full text
Thesis -
14
-
15
Crossover and mutation operators of real coded genetic algorithms for global optimization problems
Published 2016“…The strength of the algorithm lies in the fact that it assists the evolution of a population of individuals who would thrive in the survival of the fittest towards the next generation. …”
Get full text
Get full text
Thesis -
16
Balancing Exploitation And Exploration Search Behavior On Nature-Inspired Clustering Algorithms
Published 2018“…Hence, this research has proposed three enhanced frameworks, namely, Optimized Gravitational-based (OGC), Density-Based Particle Swarm Optimization (DPSO), and Variance-based Differential Evolution with an Optional Crossover (VDEO) frameworks for data clustering. …”
Get full text
Get full text
Thesis -
17
Development of an islanding detection scheme based on combination of slantlet transform and ridgelet probabilistic neural network in distributed generation
Published 2019“…In order to train Ridgelet probabilistic neural network, a modified differential evolution algorithm with new mutation phase, crossover process, and selection mechanism is introduced. …”
Get full text
Get full text
Thesis -
18
-
19
An improved hybrid method combined with a cloud-based supervisory control to facilitate smooth coordination under low-inertia grids
Published 2025“…Over recent years, a transformation driven by the adoption of smart grid technologies has posed significant challenges to the traditional power grid. While this evolution promises greater efficiency, sustainability, and transparency for utility providers and consumers, it also introduces new complexities. …”
Get full text
Get full text
Get full text
Get full text
Article -
20
Artificial intelligence (AI) and its application in architecture design: a thematic review
Published 2025“…Despite the growing number of publications on AI and architectural design, comprehensive reviews are lacking in exploring its evolution, strategies, and future directions. Few researchers have conducted a thorough inventory of AI’s impact on architectural design or mapped current trends. …”
Get full text
Get full text
Get full text
Article
