Overlapping coalition formation in game theory: A state-of-the-art review
HA Mahdiraji, E Razghandi… - Expert Systems with …, 2021 - Elsevier
A coalition as a group of agents aims to work jointly to earn much more gains as a result of
their cooperation. Many existing studies assumed that members take advantage of joining …
their cooperation. Many existing studies assumed that members take advantage of joining …
PERSEUS: a personalization framework for sentiment categorization with recurrent neural network
S Guo, S Höhn, F Xu, C Schommer - 10th International Conference on …, 2018 - orbilu.uni.lu
This paper introduces the personalization framework PERSEUS in order to investigate the
impact of individuality in sentiment categorization by looking into the past. The existence of …
impact of individuality in sentiment categorization by looking into the past. The existence of …
An improved PBIL algorithm for optimal coalition structure generation of smart grids
Coalition structure generation in multi-agent systems has long been a challenging problem
because of its NP-hardness in computational complexity. In this paper, we propose a …
because of its NP-hardness in computational complexity. In this paper, we propose a …
Hierarchical population-based learning for optimal large-scale coalition structure generation in smart grids
Abstract Large-scale Coalition Structure Generation poses a key challenge in the
Cooperative Game Theory and Multi-Agent Systems in regards to its NP-hardness …
Cooperative Game Theory and Multi-Agent Systems in regards to its NP-hardness …
A coalition formation framework for platform cooperatives of smallholder farmers
Over the years, workers have joined in producer organizations to face the difficulties that the
capitalist market poses to them. Together they can gain efficiency and equity compared to …
capitalist market poses to them. Together they can gain efficiency and equity compared to …
[PDF][PDF] Optimal coalition structure generation on large-scale renewable energy smart grids
HS Lee - Doctoral dissertation, 2020 - core.ac.uk
Most renewable energy sources are dependent on unpredictable weather conditions, which
have considerable variation over space and time. The intermittent nature of this production …
have considerable variation over space and time. The intermittent nature of this production …
[PDF][PDF] Coalition Structure Formation using Parallel Dynamic Programming.
Dynamic Programming (DP) is an effective procedure to solve many combinatorial
optimization problems and optimal Coalition Structure generation (CSG) is one of them …
optimization problems and optimal Coalition Structure generation (CSG) is one of them …
Feasible Coalitions Formation and Tasks Allocation in Heterogeneous Multi Agent System: A Similarity Matching Based Approach
Optimal coalition formation problem (OCF) in heterogeneous environment is a major
research problem in multi-agent systems that remains difficult to solve. OCF focuses on …
research problem in multi-agent systems that remains difficult to solve. OCF focuses on …
Hierarchical Population-Based Learning for Optimal Large-Scale Coalition Structure Generation in Smart Grids
M Purvis - AI 2018: Advances in Artificial Intelligence: 31st …, 2018 - books.google.com
Large-scale Coalition Structure Generation poses a key challenge in the Cooperative Game
Theory and Multi-Agent Systems in regards to its NP-hardness computation complexity …
Theory and Multi-Agent Systems in regards to its NP-hardness computation complexity …