1 citations · 1 across the 4 of their papers we have counts for
4 papers
Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal +2
Parameter tuning is recognized today as a crucial ingredient when tackling an optimization problem. Several meta-optimization methods have been proposed to find the best parameter…
Multi-Objective AI Planning: Comparing Aggregation and Pareto Approaches
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal +2
Most real-world Planning problems are multi-objective, trying to minimize both the makespan of the solution plan, and some cost of the actions involved in the plan. But most, if no…
Multi-Objective AI Planning: Evaluating DAE-YAHSP on a Tunable Benchmark
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal +2
All standard AI planners to-date can only handle a single objective, and the only way for them to take into account multiple objectives is by aggregation of the objectives. Further…
Divide-and-Evolve: a New Memetic Scheme for Domain-Independent Temporal Planning
Marc Schoenauer, Pierre Savéant, Vincent Vidal
An original approach, termed Divide-and-Evolve is proposed to hybridize Evolutionary Algorithms (EAs) with Operational Research (OR) methods in the domain of Temporal Planning Prob…