The 2D Bin Packing Problem (2DBPP) is an NP-hard combinatorial optimization problem, where common heuristic algorithms often exhibit characteristics of greedy strategy scoring during the selection of items and the det...
详细信息
This paper investigates the challenges of path optimization in the field of tourism planning and proposes an innovative diversified objective function optimization method. By comprehensively considering the tourists&#...
详细信息
In engineering practice, multi-objective optimization problems (Multi-objective optimization Problems, MOPs) are common, but multi-objective optimization problems usually cannot be solved directly. In order to solve t...
详细信息
Based on the limitations of the Tree Seed Algorithm (TSA), such as its proneness to getting trapped in local optima and its relatively slow convergence speed, this study proposes an improved TSA optimization algorithm...
详细信息
The traditional mathematical evaluation system often faces problems such as large amount of calculation and unsatisfactory optimization effect. In the execution process of the algorithm, this paper adopts the adaptive...
详细信息
When the parameters of material or size of structure are uncertain, the optimization result of the structure will also be uncertain. In this paper, interval mathematics is used to define the uncertain parameters, and ...
详细信息
The traditional particle swarm algorithm in solving the optimal value of high-dimensional nonlinear problems will fall into the local optimal value and converge prematurely, and the optimization effect is not good, ba...
详细信息
The vehicle routing problem with capacity constraints is a NP-difficult combinatorial optimization problem, which cannot be solved effectively in a reasonable time by precise algorithm. In this paper, a hybrid immune ...
详细信息
This research investigates the impact of preference annotation acquisition methods on the performance of LLM alignment algorithms, including Direct Preference optimization (DPO), Identity Preference optimization (IPO)...
详细信息
Given the large number of existing metaheuristic optimisation algorithms, there has been an increasing focus on improving benchmarking practices, to gain an improved understanding empirical performance, as well as mat...
详细信息
暂无评论