Results 1 to 10 of about 5,291 (162)
Revisiting motif finding: do bi-objective metaheuristics surpass single-objective metaheuristics? [PDF]
BMC BioinformaticsBackground The discovery of DNA motifs is essential for studying gene expression and function in many biological systems. Most existing algorithms for motif detection rely on a single optimization criterion or objective function.
Muhammad Ali Nayeem +3 more
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Contributions to the future of metaheuristics in the contours of scientific development [PDF]
Gestão & Produção, 2022 Metaheuristic algorithms solve optimisation problems by identifying the best combination among a set of variables to enhance a function. Within metaheuristics, the main purpose of this work is that of showing the development of research issues about ...
Nilo Antonio de Souza Sampaio +9 more
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Combinatorial Optimization Problems and Metaheuristics: Review, Challenges, Design, and Development
Applied Sciences, 2021 In the past few decades, metaheuristics have demonstrated their suitability in addressing complex problems over different domains. This success drives the scientific community towards the definition of new and better-performing heuristics and results in ...
Fernando Peres, Mauro Castelli
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Hybrid Metaheuristics for QoS-Aware Service Composition: A Systematic Mapping Study
IEEE Access, 2022 With the advent of Service-Oriented Architecture (SOA), services can be registered, invoked, and combined by their identical Quality of Services (QoS) attributes to create a new value-added application that fulfils user requirements.
Hadi Naghavipour +5 more
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Designing New Metaheuristics: Manual Versus Automatic Approaches
Intelligent Computing, 2023 A metaheuristic is a collection of algorithmic concepts that can be used to define heuristic methods applicable to a wide set of optimization problems for which exact/analytical approaches are either limited or impractical.
Christian L. Camacho-Villalón +2 more
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Time Complexity of Population-Based Metaheuristics
Mendel, 2023 This paper is a brief guide aimed at evaluating the time complexity of metaheuristic algorithms both mathematically and empirically. Starting with the mathematical foundational principles of time complexity analysis, key notations and fundamental ...
Mahamed G Omran, Andries Engelbrecht
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Metals, 2020 The classical thermal cycle in a Hot Dip Galvanizing (HDG) line has four steps: heating, soaking, cooling, and aging. The furnace of an ArcelorMittal HDG line was revamped to increase its heating capacity.
Ángel García-Martino +3 more
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An Adaptive Multi-Population Optimization Algorithm for Global Continuous Optimization
IEEE Access, 2021 Nowadays, there are various optimization problems that exact mathematical methods are not applicable. Metaheuristics are considered as efficient approaches for finding the solutions.
Zhixi Li, Vincent Tam, Lawrence K. Yeung
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Mathematical and Computational Applications, 2018 This research aimed to solve the economic crop planning problem, considering transportation logistics to maximize the profit from cultivated activities.
Udompong Ketsripongsa +3 more
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Taxonomy of Memory Usage in Swarm Intelligence-Based Metaheuristics
مجلة بغداد للعلوم, 2019 Metaheuristics under the swarm intelligence (SI) class have proven to be efficient and have become popular methods for solving different optimization problems. Based on the usage of memory, metaheuristics can be classified into algorithms with memory and
Yasear et al.
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