Results 111 to 120 of about 1,727,456 (275)
Effectiveness Assessment of Underwater Area Cruise Based on the ADC Method
Journal of Field Robotics, EarlyView.ABSTRACT Underwater area surveillance plays a crucial role in upholding national security, safeguarding strategic interests, and mitigating potential threats. Despite its significance, a notable gap persists in the availability of comprehensive models for assessing its effectiveness.
Qingwei Liang +3 more
wiley +1 more source
M3RS: Multi‐Robot, Multi‐Objective, and Multi‐Mode Routing and Scheduling
Journal of Field Robotics, EarlyView.ABSTRACT Task execution quality significantly impacts multi‐robot missions, yet existing task allocation frameworks rarely consider quality of service as a decision variable, despite its importance in applications like robotic disinfection and cleaning. We introduce the multi‐robot, multi‐objective, and multi‐mode routing and scheduling (M3RS) problem,
Ishaan Mehta +3 more
wiley +1 more source
BiomimeticsNowadays, metaheuristic algorithms have been applied to optimize last lower-surface models. Also, the last lower-surface model has been adjusted through the computational algorithms to perform custom shoe lasts.
J. Apolinar Muñoz Rodríguez
doaj +1 more source
Journal of Field Robotics, EarlyView.ABSTRACT Drone light shows (DLShows) represent a rapidly growing application of swarm robotics, creating captivating aerial displays through the synchronized flight of hundreds or thousands of unmanned aerial vehicles (UAVs) as environmentally friendly and reusable alternatives to traditional pyrotechnics.
Yunes Alqudsi
wiley +1 more source
Sustainable Production Planning: Insights Into Factors, Models, and Solution Methods
Sustainable Development, EarlyView.ABSTRACT Effective resource management remains a major challenge for organizations seeking to balance economic efficiency with environmental and social responsibility. In this context, production planning becomes a strategic mechanism for integrating sustainability into industrial operations.
Daysi Ortiz +2 more
wiley +1 more source
Can AI be Easy? Lessons Learned From the EZR.py Toolkit
Software: Practice and Experience, EarlyView.ABSTRACT Much recent press claims that developers no longer need to read code. We disagree, at least within the domain of tabular software‐engineering (SE) optimization tasks: rows of x$$ x $$ and y$$ y $$ values where the y$$ y $$ values are expensive to obtain.
Tim Menzies +2 more
wiley +1 more source
Quokka swarm optimization: A new nature-inspired metaheuristic optimization algorithm
Journal of Intelligent SystemsMetaheuristics are efficient algorithms designed to address a broad spectrum of optimization challenges and offer satisfactory solutions, even in scenarios of limited processing capability or incomplete information.
AL-kubaisy Wijdan Jaber +1 more
doaj +1 more source
AI-driven hybrid metaheuristic neural network approaches for medical diagnostics
Systems and Soft ComputingIn recent years, metaheuristic algorithms have gained prominence as powerful computational techniques for solving complex optimization problems across various domains, including healthcare.
Abdullah Khan +2 more
doaj +1 more source
Behavioural Dynamics of AI‐Assisted Project Control: Introducing the Wait Effect
Systems Research and Behavioral Science, EarlyView.ABSTRACT Although artificial intelligence (AI) has been increasingly applied to project optimization tasks, its influence on project managers' behavioural responses during decision‐making for the control of project execution remains underexplored.
Fredrik Kockum +3 more
wiley +1 more source
Chaos-enhanced metaheuristics: classification, comparison, and convergence analysis
Complex & Intelligent SystemsChaos theory, with its unique blend of randomness and ergodicity, has become a powerful tool for enhancing metaheuristic algorithms. In recent years, there has been a growing number of chaos-enhanced metaheuristic algorithms (CMAs), accompanied by a ...
Abdelhadi Limane +7 more
doaj +1 more source