Non-traditional optimization tools have proved their potential in solving various types of
optimization problems. These problems deal with either single objective or multiple/many …

The scientific literature available on deep-sea biodiversity is ample and covers a wide array
of objectives, geographic areas, and topics. It also explores the links between ecosystem …

The article discusses the application of artificial intelligence (AI) and automation in marine
conservation, specifically in relation to the protection of marine ecosystems and the …

When optimizing an experimental design for good prediction performance based on an
assumed second order response surface model, it is common to focus on a single optimality …

Multi-objective optimization (MOO) issues that are encountered in the realm of real
engineering applications are characterized by the curse of economically or computationally …

Context Spatial prioritization is an analytical approach that can be used to provide decision
support in spatial conservation planning (SCP), and in tasks such as conservation area …

In order to find Pareto optimal solution set uniformly distributed along all objectives, a Hybrid
Multi-Objective Harris Hawk Optimization Algorithm (H-MOHHO) was proposed based on …

Abstract Design-by-Morphing (DbM) is a novel design methodology that creates a search
space for topology optimization. Traditional design techniques often impose geometric …

Designing conservation networks requires a well-structured framework for achieving
essential objectives such as connectivity, replication or viability, and for considering local …

In this white paper, we synthesize key points made during presentations and discussions
from the AI-Assisted Decision Making for Conservation workshop, hosted by the Center for …