An efficient approach based on differential evolution algorithm for data clustering [PDF]
Decision Science Letters, 2014 Clustering plays an essential role for data analysis and it has been widely used in different fields like data mining, machine learning and pattern recognition.
Maryam Hosseini +2 more
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Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution
, 2019 It is not uncommon that meta-heuristic algorithms contain some intrinsic parameters, the optimal configuration of which is crucial for achieving their peak performance. However, evaluating the effectiveness of a configuration is expensive, as it involves
Li, Ke, Tan, Kay Chen, Xiang, Zilin
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Solving a stochastic time-cost-quality trade-off problem by meta-heuristic optimization algorithms [PDF]
, 2022 Mohammad Owais Mohammadi +2 more
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Uzay Kafes Yapıların Ateş Böceği Algoritması Yöntemiyle Optimizasyonu [PDF]
, 2015 Konferans Bildirisi -- Teorik ve Uygulamalı Mekanik Türk Milli Komitesi, 2015Conference Paper -- Theoretical and Applied Mechanical Turkish National Committee, 2015Hayvan ve böcek türlerinin sürü/koloni/grup davranışlarını taklit eden sezgisel ...
Değertekin, S. Özgür +2 more
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A Heuristic Approach for International Crude Oil Transportation Scheduling Problems
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2012 In this paper, we propose a heuristic algorithm to solve a practical ship scheduling problem for international crude oil transportation. The problem is considered as a vehicle routing problem with split deliveries.
Sisi YIN, Tatsushi NISHI, Tsukasa IZUNO
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Performance Analysis of Meta-heuristic Algorithms for a Quadratic Assignment Problem [PDF]
, 2020 Zohreh Raziei +2 more
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New heuristics and meta-heuristics for the Bandpass problem
Engineering Science and Technology, an International Journal, 2017 The Bandpass problem (BP), modelled by Babayev et al., is a combinatorial optimization problem arising in optical communication networks using wavelength division multiplexing technology.
Arif Gursoy +3 more
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Energies, 2012 The accuracy of annual electric load forecasting plays an important role in the economic and social benefits of electric power systems. The least squares support vector machine (LSSVM) has been proven to offer strong potential in forecasting issues ...
Bao Wang +4 more
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A hybrid scatter search. Electromagnetism meta-heuristic for project scheduling. [PDF]
In the last few decades, several effective algorithms for solving the resource-constrained project scheduling problem have been proposed. However, the challenging nature of this problem, summarised in its strongly NP-hard status, restricts the ...
De Reyck, B +3 more
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A novel metaheuristic optimizer GPSed via artificial intelligence for reliable economic dispatch
Scientific ReportsRecently, meta-heuristic optimization algorithms have enhanced resource efficiency, facilitated informed decision-making, and addressed complex problems involving multiple variables and constraints in engineering and science fields.
Mahmoud Ibrahim Mohamed +2 more
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