A Hybrid Multi-Objective Evolutionary-Based and Multi-Criteria Decision-Making Approach for Cooperative Marine Spatial Planning (MSP)

EasyChair Preprint no. 2765

Abstract

Over the last decades, the more the population grew, the more the demand increased for marine space uses. Hence, the increasing demand has led to conflicts due to the overlapping of various human activities (e.g., renewable energy equipment, aquaculture, fishing, etc.) occurred for economic development, social objectives, and environmental protection purposes (European Commission of Maritime Affairs, 2017). To urgently address these potential conflicts, a planning approach is required to analyze and allocate the spatial and temporal distribution of human activities in marine areas [1]. This planning process is usually called Marine Spatial Planning (MSP), an ecosystem-based spatial organization process that aims at allocating ma-
rine spatial zones to multiple actors to ensure that human activities at sea take place in an
efficient, safe and sustainable manner [2]. The goal of this contribution is twofold: 1) Proposing a practical description of MSP and a comprehensive review of related articles, and 2) Developing a spatial decision support system to allocate maritime space to multiple actors, in which actors interact/negotiate and
seek compromises, in order to reach an agreement despite their potentially conflicting objectives/constraints.

Keyphrases: Maritime Spatial Planning, Multi-Criteria Decision Aiding, multi-objective optimization, Negotiation

@Booklet{EasyChair:2765,
  author = {Mohadese Basirati and Romain Billot and Patrick Meyer and Mehrdad Mohammadi},
  title = {A Hybrid Multi-Objective Evolutionary-Based and Multi-Criteria Decision-Making Approach for Cooperative Marine Spatial Planning (MSP)},
  howpublished = {EasyChair Preprint no. 2765},

  year = {EasyChair, 2020}}