A Hybrid Approach for Sustainable Marine Zoning Management Using Multi-agent Optimization and Negotiation Protocol
Résumé
Marine Spatial Planning seeks to manage ocean activities while balancing societal needs with environmental protection. However, conflicts arise because stakeholders often have divergent objectives and preferences that are not shared. These conflicts are interdependent, making centralized solutions challenging to implement effectively. This paper addresses this gap by introducing a novel conflict resolution framework within a cooperative Multi-Objective Multi-Agent System (MOMAS) for Marine Spatial Planning. Our approach combines heuristic-based negotiation mechanisms with memetic algorithms to derive Pareto-optimal solutions, promoting collaboration and reducing conflicts. The framework is tested using the Condorcet aggregation method to simulate negotiation scenarios. Results show a 20% increase in zoning efficiency and a 22% reduction in conflict, with statistical validation (p-value < 0.05) confirming these gains. Through case studies, we demonstrate the robustness of this approach and its potential to improve decision-making in marine spatial planning, yielding both environmental and economic benefits.
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