Results 141 to 150 of about 21,806 (260)

Guest Editorial: Computational Intelligence in Dynamic and Uncertain Environments

CAAI Transactions on Intelligence Technology, EarlyView.
Shouyong Jiang
wiley   +1 more source

Multiobjective Optimisation for Others: How Anchoring Effects Change Based on Who Guides the Interaction

Journal of Multi-Criteria Decision Analysis, Volume 33, Issue 2, August 2026.
ABSTRACT It is common in many real‐world scenarios for decisions to be made on behalf of others. However, Multicriteria Decision Aiding methods often implicitly assume that the person whose preferences operate the methods, known as the decision‐maker, is the source of those preferences.
Maura E. Halstead, Manuel López‐Ibáñez, George Farmer, Paul A. Warren   +3 more
wiley   +1 more source

Introduction to Multiobjective Optimization : Interactive Approaches

, 2008
We give an overview of interactive methods developed for solving nonlinear multiobjective optimization problems. In interactive methods, a decision maker plays an important part and the idea is to support her/him in the search for the most preferred ...
Wierzbicki, A.P., Ruiz, Francisco,, Miettinen, Kaisa,   +2 more
core  

Ordered Median Traveling Salesman Problem

Networks, Volume 88, Issue 1, Page 59-84, July 2026.
ABSTRACT This paper introduces a novel combinatorial optimization problem with ordering constraints, termed the Ordered Median Traveling Salesman Problem (OMTSP). The OMTSP integrates key elements from both the classic Traveling Salesman Problem (TSP) and the Ordered Median Location Problem.
Ivana Ljubić, Alfredo Marín, Justo Puerto, Francisco Temprano   +3 more
wiley   +1 more source

Multiobjective Optimization of Silver-Nanowire Deposition for Flexible Transparent Conducting Electrodes. [PDF]

ACS Appl Nano Mater, 2023
Lee M, Piper RT, Bhandari B, Hsu JWP.
europepmc   +1 more source

Multiobjective optimization as a decision aid for managing build-to-order supply chains

, 2009
This paper provides an overview of multiobjective optimization (MOO) as a decision aid in build-to-order supply chains (BTO-SC). The main features of BTO-SCs are discussed along with capabilities of MOO to enhance decision making at different points ...
Gallear, D, Mansouri, A
core  

Generative Semantic Communication for Efficient Utilization of Satellite Resources in 6G

International Journal of Satellite Communications and Networking, Volume 44, Issue 4, Page 368-377, July/August 2026.
ABSTRACT In this paper, a two‐stage resource allocation framework is proposed for generative semantic communication (GSC)–enabled multibeam satellite systems. By integrating semantic compression and generative artificial intelligence, GSC enables efficient downlink transmission by allowing users to reconstruct content from compressed semantic prompts ...
Hyein Lee, Sooyoung Kim, Heewook Kim, Jihong Park, Jinho Choi, Daesub Oh   +5 more
wiley   +1 more source

Multiobjective optimization framework for designing a steering system considering structural features and full vehicle dynamics. [PDF]

Sci Rep, 2023
Llopis-Albert C, Rubio F, Devece C, Zeng S.   +3 more
europepmc   +1 more source

Multiobjective genetic programming for financial portfolio management in dynamic environments

, 2010
Multiobjective (MO) optimisation is a useful technique for evolving portfolio optimisation solutions that span a range from high-return/high-risk to low-return/low-risk.
Hassan, G.N.A.
core  

Optimization of rotor-side controller parameters in doubly fed induction generators based on an improved NSGA-II.

PLoS ONE
Herein, an advanced control strategy to enhance the operational stability of wind turbine generators during grid-voltage surges is presented. In particular, a multiobjective optimization framework based on an improved nondominated sorting genetic ...
Yanling Lv, Xiang Zhao, Zexin Mou
doaj   +1 more source