A tutorial on the design, experimentation and application of metaheuristic algorithms to real-world optimization problems
In the last few years, the formulation of real-world optimization problems and their efficient
solution via metaheuristic algorithms has been a catalyst for a myriad of research studies. In …
solution via metaheuristic algorithms has been a catalyst for a myriad of research studies. In …
A survey of adaptive large neighborhood search algorithms and applications
This article provides a survey on the highly popular metaheuristic framework, the adaptive
large neighborhood search (ALNS). The basic concepts of ALNS are discussed in this …
large neighborhood search (ALNS). The basic concepts of ALNS are discussed in this …
Improving construction and demolition waste collection service in an urban area using a simheuristic approach: A case study in Sydney, Australia
Urbanization and population growth have resulted in a significant increase in the amount of
generated construction and demolition (C&D) waste worldwide. Improper C&D waste …
generated construction and demolition (C&D) waste worldwide. Improper C&D waste …
Big data analytics using cloud computing based frameworks for power management systems: Status, constraints, and future recommendations
Traditional parallel computing for power management systems has prime challenges such
as execution time, computational complexity, and efficiency like process time and delays in …
as execution time, computational complexity, and efficiency like process time and delays in …
A simulation-based heuristic for the electric vehicle routing problem with time windows and stochastic waiting times at recharging stations
Abstract The Electric Vehicle Routing Problem with Time Windows and Stochastic Waiting
Times at Recharging Stations is an extension of the Electric Vehicle Routing Problem with …
Times at Recharging Stations is an extension of the Electric Vehicle Routing Problem with …
Simulation-optimization methods for designing and assessing resilient supply chain networks under uncertainty scenarios: A review
The design of supply chain networks (SCNs) aims at determining the number, location, and
capacity of production facilities, as well as the allocation of markets (customers) and …
capacity of production facilities, as well as the allocation of markets (customers) and …
Field-synchronized digital twin framework for production scheduling with uncertainty
Research on scheduling problems is an evergreen challenge for industrial engineers. The
growth of digital technologies opens the possibility to collect and analyze great amount of …
growth of digital technologies opens the possibility to collect and analyze great amount of …
Metaheuristics for bilevel optimization: A comprehensive review
A bilevel programming model represents the relationship in a specific decision process that
involves decisions within a hierarchical structure of two levels. The upper-level problem is …
involves decisions within a hierarchical structure of two levels. The upper-level problem is …
Hospital evacuation modelling: A critical literature review on current knowledge and research gaps
The frequency and intensity of both human-made and natural disasters are predicted to
increase, and hospitals play a critically important role in reducing injury and mortality rates …
increase, and hospitals play a critically important role in reducing injury and mortality rates …
Combinatorial optimization problems and metaheuristics: Review, challenges, design, and development
F Peres, M Castelli - Applied Sciences, 2021 - mdpi.com
In the past few decades, metaheuristics have demonstrated their suitability in addressing
complex problems over different domains. This success drives the scientific community …
complex problems over different domains. This success drives the scientific community …