Results 231 to 240 of about 774,946 (268)

Multi-objective computational optimization of human 5' UTR sequences. [PDF]

Brief Bioinform
Yamada K, Suga K, Abe N, Hashimoto K, Tsutsumi S, Inagaki M, Hashiya F, Abe H, Hamada M.   +8 more
europepmc   +1 more source

A Bio-Inspired Approach to Sustainable Building Design Optimization: Multi-Objective Flow Direction Algorithm with One-Hot Encoding. [PDF]

Biomimetics (Basel)
Canbolat AS, Albak Eİ.
europepmc   +1 more source

A multi-objective hybrid algorithm for optimizing neural network architectures in wildlife conservation: a theoretical framework with practical validation. [PDF]

Sci Rep
Kaniwa F, Dinakenyane O, Phuthego M.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Multi-objective evolution strategy for multimodal multi-objective optimization

Applied Soft Computing, 2021
Abstract In the past decades, various effective and efficient multi-objective evolutionary algorithms (MOEAs) have been proposed for solving multi-objective optimization problems. However, existing MOEAs cannot satisfactorily address multimodal multi-objective optimization problems that demand to find multiple groups of optimal solutions ...
Kai Zhang, Minshi Chen, Xin Xu, Gary G. Yen   +3 more
openaire   +1 more source

Progressive Multi-Objective Optimization

International Journal of Information Technology & Decision Making, 2014
This paper introduces progressive multi-objective optimization (PMOO), a novel technique to include the decision maker's preferences into the multi-objective optimization process. PMOO integrates a well-known method for multi-criteria decision making (PROMETHEE) into a simple multi-objective metaheuristic by maintaining and updating a small reference ...
Kenneth Sörensen, Johan Springael
openaire   +3 more sources

Multi‐objective ensemble generation

WIREs Data Mining and Knowledge Discovery, 2015
Ensemble methods that combine a committee of machine‐learning models, each known as a member or base learner, have gained research interests in the past decade. One interest on ensemble generation involves the multi‐objective approach, which attempts to generate both accurate and diverse members that fulfill the theoretical requirements of good ...
Gu, Shenkai, Cheng, Ran, Jin, Yaochu
openaire   +3 more sources

Multi-objective diversity maintenance

Proceedings of the 8th annual conference on Genetic and evolutionary computation, 2006
Paul Snijders Kunstmatige Intelligentie Groningen University Grote Kruisstraat 2/1 9712 TS Groningen, The Netherlands P.Snijders@ai.rug.nl Edwin D. de Jong Institute of Information and Computing Sciences Utrecht University PO Box 80.089 3508 TB Utrecht, The Netherlands dejong@cs.uu.nl Bart de Boer Kunstmatige Intelligentie Groningen University Grote ...
Snijders, P., de Jong, E.D., Boer, B., Weissing, F.   +3 more
openaire   +3 more sources

Multi-Objective Clustering Ensemble

2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06), 2006
In this paper we present an algorithm for cluster analysis that integrates aspects from cluster ensemble and multi-objective clustering. The algorithm is constituted by a Pareto-based multi-objective genetic algorithm that uses clustering validation measures as the objective functions.
Faceli, Katti, de Carvalho, André C. P. L. F., de Souto, Marcílio C.P.   +2 more
openaire   +1 more source

Multi-Objective Scheduling

2009
no ...
Dutot, Pierre-François, Rzadca, Krzysztof, Saule, Érik, Trystram, Denis   +3 more
openaire   +2 more sources

Multi-Objective Interactive Programming

Journal of the Operational Research Society, 1980
This paper proposes a method for finding optimal, or near optimal, solutions for problems involving m objective functions, where there is an overall criterion which is a weighted sum of the m objective functions, but where the weights are, initially, unknown.
openaire   +1 more source