Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Apparent Weight

Apparent Weight

True weight is the measure of the gravitational force acting on an object. However, if the object accelerates, its measured weight is different from its true weight. Similar observations can be made when the object is submerged in water. An object's weight in water is its apparent weight, which is equal to the difference between its true weight and the buoyant forces.
Consider a person standing on a bathroom scale inside an elevator. If the scale is accurate at rest, its reading equals the...

Mass and Weight

Mass and Weight

Mass and weight are often used interchangeably in everyday conversation. For example, medical records often show our weight in kilograms, but never in the correct units of newtons. In physics, however, there is an important distinction. Weight is the pull of the Earth on an object. It depends on the distance from the center of the Earth. Weight dramatically varies if we leave the Earth's surface, unlike mass, which does not vary with location. On the Moon, for example, the acceleration due to...

Mass and Weight

Mass and Weight

Mass and weight are often used interchangeably in everyday conversation. For example, medical records often show our weight in kilograms, but never in the correct units of newtons. In physics, however, there is an important distinction. Weight is the pull of the Earth on an object. It depends on the distance from the center of the Earth. Weight dramatically varies if we leave the Earth's surface, unlike mass, which does not vary with location. On the Moon, for example, the acceleration due to...

Drug Dosing: Obese Patients

Drug Dosing: Obese Patients

In the United States, obesity is a prominent concern. It is linked to heightened mortality rates due to increased occurrences of conditions such as hypertension, atherosclerosis, coronary artery disease, and diabetes compared to nonobese individuals. A patient is classified as obese if their actual body weight surpasses the ideal or desirable body weight by 20%, based on Metropolitan Life Insurance Company data. Ideal body weights consider average weights and heights for males and females...

Weighted Mean

Weighted Mean

While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...

Adaptations that Reduce Water Loss

Adaptations that Reduce Water Loss

Though evaporation from plant leaves drives transpiration, it also results in loss of water. Because water is critical for photosynthetic reactions and other cellular processes, evolutionary pressures on plants in different environments have driven the acquisition of adaptations that reduce water loss.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

[Intelligence level and structure in school age children with fetal growth restriction].

Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics·2009

Same author

Uncoupling the D1-N-methyl-D-aspartate (NMDA) receptor complex promotes NMDA-dependent long-term potentiation and working memory.

Biological psychiatry·2009

Same author

A phospho-directed macroporous alumina-silica nanoreactor with multi-functions.

ACS nano·2009

Same author

Subintimal angioplasty for below-the-ankle arterial occlusions in diabetic patients with chronic critical limb ischemia.

Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists·2009

Same author

Natural killer/T cell lymphoma initiating with pleural effusion: the significance of MICM combined techniques for the diagnosis.

Zhongguo shi yan xue ye xue za zhi·2009

Same author

[Advance of study on animal models of lymphoma].

Zhongguo shi yan xue ye xue za zhi·2009

Same journal

Computing Optimal Populations for Binary Problems using Logic Minimization.

Evolutionary computation·2026

Same journal

Enhancing Generalization and Scalability for Multi-Objective Optimization with Population Pre-Training.

Evolutionary computation·2026

Same journal

XCS for Sequential Perceptual Aliasing in Multi-Step Decision Making.

Evolutionary computation·2026

Same journal

A dynamic multi-objective evolutionary algorithm using dual-space prediction and surrogate-based sampling.

Evolutionary computation·2026

Same journal

Adapting MOEA/D to CMA-ES for Dealing with Ill-conditioned Multiobjective Problems.

Evolutionary computation·2026

Same journal

Editorial of the Special Issue: Parallel Problem Solving from Nature PPSN 2024 Extended Versions of Best Paper Candidates.

Evolutionary computation·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 10, 2026

Control of Eating Behavior Using a Novel Feedback System

Control of Eating Behavior Using a Novel Feedback System

Published on: May 8, 2018

MOEA/D with adaptive weight adjustment.

Yutao Qi¹, Xiaoliang Ma, Fang Liu

¹School of Computer Science and Technology, Xidian University, Xi'an, 710071, China; Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi'an, 710071, China qi_yutao@163.com.

Evolutionary Computation

|June 20, 2013

Summary

This summary is machine-generated.

The novel MOEA/D-AWA algorithm improves evolutionary multi-objective optimization by adaptively adjusting weight vectors to better handle complex Pareto fronts, outperforming existing methods.

More Related Videos

Assessing Activity-based Anorexia in Mice

Assessing Activity-based Anorexia in Mice

Published on: May 14, 2018

Related Experiment Videos

Last Updated: May 10, 2026

Control of Eating Behavior Using a Novel Feedback System

Control of Eating Behavior Using a Novel Feedback System

Published on: May 8, 2018

Assessing Activity-based Anorexia in Mice

Assessing Activity-based Anorexia in Mice

Published on: May 14, 2018

Area of Science:

Computer Science
Artificial Intelligence
Optimization Algorithms

Background:

Multi-objective evolutionary algorithms based on decomposition (MOEA/D) are widely used for evolutionary multi-objective optimization.
Standard MOEA/D relies on uniform weight vectors, which can struggle with complex Pareto fronts (e.g., discontinuous, sharp peaks, low tails).

Purpose of the Study:

To propose an improved MOEA/D algorithm, termed MOEA/D-AWA, that addresses the limitations of existing methods when dealing with complex Pareto fronts.
To enhance the diversity and uniformity of Pareto optimal solutions for multi-objective optimization problems (MOPs) with intricate Pareto fronts.

Main Methods:

Introduced a new weight vector initialization and an adaptive weight vector adjustment strategy based on Chebyshev decomposition.
Implemented periodic weight redistribution to optimize subproblem solutions and save computational effort on duplicate solutions.
Incorporated an external elite population to identify and address sparse regions in complex Pareto fronts.

Main Results:

MOEA/D-AWA demonstrated superior performance compared to state-of-the-art algorithms (MOEA/D, Adaptive-MOEA/D, [Formula: see text]-MOEA/D, NSGA-II) on various test problems.
The proposed algorithm showed significant improvements, particularly on problems with complex Pareto fronts, as measured by the IGD metric.
Effective handling of discontinuous Pareto fronts and efficient allocation of computational resources were observed.

Conclusions:

MOEA/D-AWA offers a robust enhancement to MOEA/D, particularly for multi-objective optimization problems with complex Pareto fronts.
The adaptive weight adjustment and external elite population strategies are key to achieving better solution uniformity and diversity.
This work provides a valuable advancement in evolutionary multi-objective optimization for challenging problem landscapes.