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Herbert Palm and Lorin Arndt
The multi-objective optimization (MOO) of complex systems remains a challenging task in engineering domains. The methodological approach of applying MOO algorithms to simulation-enabled models has established itself as a standard. Despite increasing in c...
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Abiodun M. Ikotun and Absalom E. Ezugwu
Automatic clustering problems require clustering algorithms to automatically estimate the number of clusters in a dataset. However, the classical K-means requires the specification of the required number of clusters a priori. To address this problem, met...
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Jafar Yazdi, Young Hwan Choi and Joong Hoon Kim
We developed a hybrid algorithm for multi-objective design of water distribution networks (WDNs) in the present study. The proposed algorithm combines the global search schemes of differential evolution (DE) with the local search capabilities of harmony ...
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Jafar Yazdi, Young Hwan Choi, Joong Hoon Kim
Pág. 1 - 20
We developed a hybrid algorithm for multi-objective design of water distribution networks (WDNs) in the present study. The proposed algorithm combines the global search schemes of differential evolution (DE) with the local search capabilities of harmony ...
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Aydin GULLU, Hilmi KUSÇU
Pág. 222 - 238
Graph search algorithms and shortest path algorithms, designed to allow real mobile robots to search unknown environments, are typically run in a hybrid manner, which results in the fast exploration of an entire environment using the shortest path. In th...
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Aydin GULLU, Hilmi KUSÇU
Pág. 222 - 238
Graph search algorithms and shortest path algorithms, designed to allow real mobile robots to search unknown environments, are typically run in a hybrid manner, which results in the fast exploration of an entire environment using the shortest path. In th...
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Vincenzo Cutello, Georgia Fargetta, Mario Pavone and Rocco A. Scollo
Community detection is one of the most challenging and interesting problems in many research areas. Being able to detect highly linked communities in a network can lead to many benefits, such as understanding relationships between entities or interaction...
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Jian Ni, Jing Tang and Rui Wang
The beetle antenna search algorithm (BAS) converges rapidly and runs in a short time, but it is prone to yielding values corresponding to local extrema when dealing with high-dimensional problems, and its optimization result is unstable. The artificial f...
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Liliya A. Demidova and Artyom V. Gorchakov
Inspired by biological systems, swarm intelligence algorithms are widely used to solve multimodal optimization problems. In this study, we consider the hybridization problem of an algorithm based on the collective behavior of fish schools. The algorithm ...
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Zhenglong Li and Vincent Tam
Meta-heuristic algorithms have successfully solved many real-world problems in recent years. Inspired by different natural phenomena, the algorithms with special search mechanisms can be good at tackling certain problems. However, they may fail to solve ...
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Toufik Mzili, Ilyass Mzili, Mohammed Essaid Riffi and Gaurav Dhiman
This paper presents a new hybrid algorithm that combines genetic algorithms (GAs) and the optimizing spotted hyena algorithm (SHOA) to solve the production shop scheduling problem. The proposed GA-SHOA algorithm incorporates genetic operators, such as un...
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Sadik Ozgur Degertekin, Mohammad Minooei, Lorenzo Santoro, Bartolomeo Trentadue and Luciano Lamberti
Metaheuristic algorithms currently represent the standard approach to engineering optimization. A very challenging field is large-scale structural optimization, entailing hundreds of design variables and thousands of nonlinear constraints on element stre...
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Jason Deane, Anurag Agarwal
The multi-dimensional knapsack problem (MDKP) is a well-studied problem in Decision Sciences. The problems NP-Hard nature prevents the successful application of exact procedures such as branch and bound, implicit enumeration and dynamic programming for l...
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Amr A. Abd El-Mageed, Ayoub Al-Hamadi, Samy Bakheet and Asmaa H. Abd El-Rahiem
It is difficult to determine unknown solar cell and photovoltaic (PV) module parameters owing to the nonlinearity of the characteristic current?voltage (I-V) curve. Despite this, precise parameter estimation is necessary due to the substantial effect par...
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Junbo Liu, Ji Zhou, Dajie Yu, Haifeng Sun, Song Hu and Jian Wang
As an effective resolution enhancement technology, source optimization (SO) is considered key for significantly improving the image quality of optical lithography at advanced nodes. To solve the problem of unsatisfactory SO performance, it is necessary t...
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Baydaa Abdul Kareem, Salah L. Zubaidi, Hussein Mohammed Ridha, Nadhir Al-Ansari and Nabeel Saleem Saad Al-Bdairi
Accurate streamflow prediction is significant when developing water resource management and planning, forecasting floods, and mitigating flood damage. This research developed a novel methodology that involves data pre-processing and an artificial neural ...
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Andrei V. Panteleev and Anna A. Kolessa
A new hybrid metaheuristic method for optimizing the objective function on a parallelepiped set of admissible solutions is proposed. It mimics the behavior of a school of river perch when looking for food. The algorithm uses the ideas of several methods:...
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Doddy Prayogo, Min-Yuan Cheng, Yu-Wei Wu, A. A. N. Perwira Redi, Vincent F. Yu, Satria Fadil Persada and Reny Nadlifatin
Symbiotic organisms search (SOS) is a promising metaheuristic algorithm that has been studied recently by numerous researchers due to its capability to solve various hard and complex optimization problems. SOS is a powerful optimization technique that mi...
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Ding-Peng Liu, Tsung-Yueh Lin and Hsin-Haou Huang
When solving real-world problems with complex simulations, utilizing stochastic algorithms integrated with a simulation model appears inefficient. In this study, we compare several hybrid algorithms for optimizing an offshore jacket substructure (JSS). M...
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Fabio Massimo Zanzotto, Giorgio Satta and Giordano Cristini
Parsing is a key task in computer science, with applications in compilers, natural language processing, syntactic pattern matching, and formal language theory. With the recent development of deep learning techniques, several artificial intelligence appli...
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