Bonobo optimizer (BO): an intelligent heuristic with self-adjusting parameters over continuous spaces and its applications to engineering problems

AK Das, DK Pratihar - Applied Intelligence, 2022 - Springer
In this paper, an intelligent optimization technique, namely Bonobo Optimizer (BO), is
proposed. It mimics several interesting reproductive strategies and social behaviour of …

Water cycle algorithm for solving multi-objective optimization problems

A Sadollah, H Eskandar, A Bahreininejad, JH Kim - Soft Computing, 2015 - Springer
In this paper, the water cycle algorithm (WCA), a recently developed metaheuristic method is
proposed for solving multi-objective optimization problems (MOPs). The fundamental …

[HTML][HTML] Genetic model-based success probability prediction of quantum software development projects

MA Akbar, AA Khan, M Shameem… - Information and Software …, 2024 - Elsevier
Context Quantum computing (QC) holds the potential to revolutionize computing by solving
complex problems exponentially faster than classical computers, transforming fields such as …

Genetic algorithm based probabilistic model for agile project success in global software development

M Shameem, M Nadeem, AT Zamani - Applied Soft Computing, 2023 - Elsevier
Software development organizations implement agile methods in global software
development (GSD) to leverage benefits in terms of low development cost, continuous …

Novel genetic algorithm-based evolutionary support vector machine for optimizing high-performance concrete mixture

MY Cheng, D Prayogo, YW Wu - Journal of Computing in Civil …, 2014 - ascelibrary.org
An effective method for optimizing high-performance concrete mixtures can significantly
benefit the construction industry. However, traditional proportioning methods are not …

[HTML][HTML] Modal vibration response of rice combine harvester frame under multi-source excitation

S Chen, Y Zhou, Z Tang, S Lu - Biosystems Engineering, 2020 - Elsevier
Highlights•Split and binding constrained modal was used to analyze combine harvester
frame.•Dynamic model of combine harvester frame was analyzed under Multi-source …

An innovative framework for designing genetic algorithm structures

SD Dao, K Abhary, R Marian - Expert Systems with Applications, 2017 - Elsevier
Genetic Algorithms are popular optimization algorithms, often used to solve complex large
scale optimization problems in many fields. Like other meta-heuristic algorithms, Genetic …

Parametric analysis and Pareto optimization of an integrated autothermal biomass gasification, solid oxide fuel cell and micro gas turbine CHP system

M Borji, K Atashkari, S Ghorbani… - International Journal of …, 2015 - Elsevier
Incorporation of solid oxide fuel cells (SOFC) into hybrid plants producing combined heat
and power (CHP) is a sustainable and efficient alternative to conventional electricity …

A new approach for improving microbial fuel cell performance using artificial intelligence

Y Abdollahfard, M Sedighi, M Ghasemi - Sustainability, 2023 - mdpi.com
Microbial fuel cells have recently received considerable attention as a potential source of
renewable energy. Due to its complex and hybrid nature, it has significant nonlinear features …

A novel multiobjective charging optimization method of power lithium‐ion batteries based on charging time and temperature rise

J Sun, Q Ma, R Liu, T Wang… - International Journal of …, 2019 - Wiley Online Library
Power lithium‐ion batteries have been widely utilized in energy storage system and electric
vehicles, because these batteries are characterized by high energy density and power …