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Flexible Job-Shop Scheduling Problem
The Flexible Job-Shop Scheduling Problem (FJSSP) is a combinatorial optimization problem where the goal is to find the optimal schedule for a set of jobs on a set of machines. -
Vehicle Routing Problem
The Vehicle Routing Problem (VRP) is a classic problem in combinatorial optimization. The problem is to find the shortest route that visits each node in a graph exactly once and... -
HIFF Function
The dataset used in the paper is a collection of combinatorial optimization problems, including concatenated deceptive traps, NK landscapes, and the HIFF function. -
NK Landscapes
The dataset used in the paper is a collection of combinatorial optimization problems, including concatenated deceptive traps, NK landscapes, and the HIFF function. -
Concatenated Deceptive Traps
The dataset used in the paper is a collection of combinatorial optimization problems, including concatenated deceptive traps, NK landscapes, and the HIFF function. -
SC, MIS, CA, and MC datasets
The dataset used in this paper is a collection of four NP-hard benchmark problems: Set Covering (SC), Maximal Independent Set (MIS), Combinatorial Auction (CA), and Maximum Cut...