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 …
proposed. It mimics several interesting reproductive strategies and social behaviour of …
Water cycle algorithm for solving multi-objective optimization problems
In this paper, the water cycle algorithm (WCA), a recently developed metaheuristic method is
proposed for solving multi-objective optimization problems (MOPs). The fundamental …
proposed for solving multi-objective optimization problems (MOPs). The fundamental …
[HTML][HTML] Genetic model-based success probability prediction of quantum software development projects
Context Quantum computing (QC) holds the potential to revolutionize computing by solving
complex problems exponentially faster than classical computers, transforming fields such as …
complex problems exponentially faster than classical computers, transforming fields such as …
Genetic algorithm based probabilistic model for agile project success in global software development
Software development organizations implement agile methods in global software
development (GSD) to leverage benefits in terms of low development cost, continuous …
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
An effective method for optimizing high-performance concrete mixtures can significantly
benefit the construction industry. However, traditional proportioning methods are not …
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 …
frame.•Dynamic model of combine harvester frame was analyzed under Multi-source …
An innovative framework for designing genetic algorithm structures
Genetic Algorithms are popular optimization algorithms, often used to solve complex large
scale optimization problems in many fields. Like other meta-heuristic algorithms, Genetic …
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 …
and power (CHP) is a sustainable and efficient alternative to conventional electricity …
A new approach for improving microbial fuel cell performance using artificial intelligence
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 …
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 …
vehicles, because these batteries are characterized by high energy density and power …