Results 41 to 50 of about 15,134 (244)
Solving text clustering problem using a memetic differential evolution algorithm.
The text clustering is considered as one of the most effective text document analysis methods, which is applied to cluster documents as a consequence of the expanded big data and online information.
Hossam M J Mustafa +3 more
doaj +1 more source
Search Trajectory Networks Applied to the Cyclic Bandwidth Sum Problem
Search trajectory networks (STNs) were proposed as a tool to analyze the behavior of metaheuristics in relation to their exploration ability and the search space regions they traverse.
Valentina Narvaez-Teran +2 more
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Implementation of Memetic Algorithms into Structural Optimization
The paper presents an implementation of the memetic algorithm for discrete structural optimization. This algorithm is a combination of genetic algorithm and five local search methods.
Peter Pechac +3 more
doaj +1 more source
Hybridization of Multi-Objective Deterministic Particle Swarm with Derivative-Free Local Searches
The paper presents a multi-objective derivative-free and deterministic global/local hybrid algorithm for the efficient and effective solution of simulation-based design optimization (SBDO) problems.
Riccardo Pellegrini +5 more
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Memetic Artificial Bee Colony Algorithm for Large-Scale Global Optimization
Memetic computation (MC) has emerged recently as a new paradigm of efficient algorithms for solving the hardest optimization problems. On the other hand, artificial bees colony (ABC) algorithms demonstrate good performances when solving continuous and ...
Brest, Janez +3 more
core +1 more source
Identifying vital edges in Chinese air route network via memetic algorithm [PDF]
Due to its rapid development in the past decade, air transportation system has attracted considerable research attention from diverse communities.
Cao, Xian-Bin +4 more
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This paper studies a novel and practical distributed flexible assembly permutation flowshop scheduling problem with makespan criterion, which has attracted wide attention due to important applications in modern manufacturing.
Guanghui Zhang +3 more
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This paper presents algorithmic and empirical contributions demonstrating that the convergence characteristics of a co-evolutionary approach to tackle Multi-Objective Games (MOGs) with postponed preference articulation can often be hampered due to the ...
Gupta, Abhishek +3 more
core +1 more source
Solving the rotating seru production problem with dynamic multi-objective evolutionary algorithms
Today's volatile market conditions in electronic industries have lead to a new production system, seru (which is the Japanese pronunciation for cell), and has been widely implemented in hundreds of Japanese and other Asia companies.
Feng Liu, Kan Fang, Jiafu Tang, Yong Yin
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A Study on Multimemetic Estimation of Distribution Algorithms [PDF]
PPSN 2014, LNCS 8672, pp. 322-331Multimemetic algorithms (MMAs) are memetic algorithms in which memes (interpreted as non-genetic expressions of problem solving strategies) are explicitly represented and evolved alongside genotypes.
C. González +13 more
core +1 more source

