The green vehicle routing problem: A systematic literature review
Recent decades have seen increasing utilization of optimization packages, based on
Operations Research and Mathematical Programming techniques, for effective management …
Operations Research and Mathematical Programming techniques, for effective management …
Hierarchy ranking method for multimodal multiobjective optimization with local Pareto fronts
Multimodal multiobjective problems (MMOPs) commonly arise in real-world situations where
distant solutions in decision space share a very similar objective value. Traditional …
distant solutions in decision space share a very similar objective value. Traditional …
Weighted indicator-based evolutionary algorithm for multimodal multiobjective optimization
Multimodal multiobjective problems (MMOPs) arise frequently in the real world, in which
multiple Pareto-optimal solution (PS) sets correspond to the same point on the Pareto front …
multiple Pareto-optimal solution (PS) sets correspond to the same point on the Pareto front …
A clustering-based differential evolution algorithm for solving multimodal multi-objective optimization problems
Abstract Multimodal Multi-objective Optimization Problems (MMOPs) refer to the problems
that have multiple Pareto-optimal solution sets in decision space corresponding to the same …
that have multiple Pareto-optimal solution sets in decision space corresponding to the same …
A heuristic whale optimization algorithm with niching strategy for global multi-dimensional engineering optimization
X Lin, X Yu, W Li - Computers & Industrial Engineering, 2022 - Elsevier
Whale optimization algorithm (WOA) has received increasing attention in engineering
optimization owing to its high computation efficiency, whereas, it has exhibited the drawback …
optimization owing to its high computation efficiency, whereas, it has exhibited the drawback …
Balancing convergence and diversity in objective and decision spaces for multimodal multi-objective optimization
Solving multimodal multi-objective optimization problems (MMOPs) via evolutionary
algorithms receives increasing attention recently. Maintaining good diversity in both decision …
algorithms receives increasing attention recently. Maintaining good diversity in both decision …
Review of the research landscape of multi-criteria evaluation and benchmarking processes for many-objective optimization methods: coherent taxonomy, challenges …
Evaluation and benchmarking of many-objective optimization (MaOO) methods are
complicated. The rapid development of new optimization algorithms for solving problems …
complicated. The rapid development of new optimization algorithms for solving problems …
Multimodal multi-objective evolutionary algorithm for multiple path planning
The multi-objective path planning problem has received much attention recently. Traditional
solving methods try to find a single optimal path without considering the multiformity of the …
solving methods try to find a single optimal path without considering the multiformity of the …
Evolutionary multimodal multiobjective optimization for traveling salesman problems
Multimodal multiobjective optimization problems (MMOPs) are commonly seen in real-world
applications. Many evolutionary algorithms have been proposed to solve continuous …
applications. Many evolutionary algorithms have been proposed to solve continuous …
Achieving optimal-dynamic path planning for unmanned surface vehicles: A rational multi-objective approach and a sensory-vector re-planner
L Zhao, Y Bai, JK Paik - Ocean Engineering, 2023 - Elsevier
Navigating unmanned surface vehicles (USVs) in the intricate and unpredictable oceanic
environment poses an indispensable challenge for path planning, necessitating meticulous …
environment poses an indispensable challenge for path planning, necessitating meticulous …