Results 131 to 140 of about 52,555 (294)
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
International Transactions in Operational Research, EarlyView.Abstract This paper investigates an extension of the vehicle routing problem in which, in addition to minimizing the distance traveled, the sequencing of customer visits is subject to precedence constraints that impose visiting priorities among customers.
Eduardo dos Santos Teixeira +1 more
wiley +1 more source
International Transactions in Operational Research, EarlyView.Abstract This research evaluates the effectiveness of a hybrid crowdshipping system that integrates occasional drivers with traditional delivery services (OD+TD) to improve the efficiency of freight distribution. By implementing the team orienteering problem with occasional drivers model, we develop a mathematical model and an agile optimization ...
Alisson Garcia‐Herrera +4 more
wiley +1 more source
AlgorithmsMetaheuristic algorithms, including evolutionary approaches, are vital for solving non-trivial and non-convex optimization problems. However, real-world engineering often involves high-dimensional, expensive problems that deteriorate performance due to ...
Pedro Bento +4 more
doaj +1 more source
The impact of public drop‐off boxes and autonomous delivery robots in last‐mile delivery
International Transactions in Operational Research, EarlyView.Abstract The growing concern over emissions from last‐mile logistics is motivating the development of innovative delivery models aimed at reducing environmental impact and traffic congestion. To this end, we propose a last‐mile delivery scheme based on both public drop‐off boxes and autonomous delivery robots.
Gianpaolo Ghiani +3 more
wiley +1 more source
Metaheuristics in automated machine learning: Strategies for optimization
Intelligent Systems with ApplicationsThe present work explores the application of Automated Machine Learning techniques, particularly on the optimization of Artificial Neural Networks through hyperparameter tuning.
Francesco Zito +4 more
doaj +1 more source
International Transactions in Operational Research, EarlyView.Abstract We address the scheduling conflicting jobs on parallel identical machines problem with makespan minimization, a classical and computationally challenging variant of parallel machine scheduling. We develop and evaluate three distinct solution methodologies: a novel constraint programming (CP) formulation, and two metaheuristics: a multi ...
Roberto Maria Rosati +3 more
wiley +1 more source
Optimization of Soft Actuator Geometry and Material Modeling Using Metaheuristic Algorithms
ActuatorsThe geometry of soft actuators significantly impacts their performance, including force generation, range of motion, and adaptability. Optimizing actuator geometry and material properties under specific constraints is crucial for achieving desired ...
Mohamed Slim +4 more
doaj +1 more source