Metaheuristics for the Multimodal Optimization of Hazmat Transports

Autor:	Marco Castro, Pablo Maya Duque, Kenneth Sörensen, Christine Vanovermeire
Rok vydání:	2012
Předmět:	Engineering Optimization problem Operations research Economics business.industry Optimization methods Point (geometry) business Literature survey Metaheuristic Mathematics
Zdroj:	Security Aspects of Uni- and Multimodal Hazmat Transportation Systems Security aspects of uni-and multimodal hazmat transportation systems / Reniers, G.L.L. [edit.]; e.a.
DOI:	10.1002/9783527664818.ch10
Popis:	Metaheuristics are high-level problem-independent optimization frameworks that present a exible way to solve large and complicated optimization problems. In this chapter, we provide an overview of this research eld and argue that metaheuristics are the most suitable optimization methods currently available to solve multi-modal hazmat transportation optimization problems. Not only the size and complexity of (real-life instances) of such problems warrant the use of metaheuristics, the fact that these problems usually combine several levels of decision-making and have more than one objective, strengthen the need for powerful optimization tools. We present a literature survey on the use of metaheuristics for multi-modal and for hazmat transportation optimization and point out some interesting directions for future research.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7622e8707238507abe741a979ac11ad3 https://doi.org/10.1002/9783527664818.ch10 Zobrazit plný text záznamu