housing affordability crisis prompts diverse solutions. 

OPINION | The Florida Legislature raided $2.6B in affordable housing funds - Jacksonville Today

The crisis affects more than the poor; it also is hurting the middle class, including the workers who provide essential public services, like police officers, firefighters and teachers.

jaxtoday.org (Opinion)     Oct 03, 2023

Bridging the Gap between Structural and Semantic Similarity in Diverse Planning. (arXiv:2310.01520v1 [cs.AI])

science

Diverse planning is the problem of finding multiple plans for a given problem specification, which is at the core of many real-world applications. For example, diverse planning is a critical piece for the efficiency of plan recognition systems when dealing with noisy and missing observations. Providing diverse solutions can also benefit situations where constraints are too expensive or impossible to model. Current diverse planners operate by generating multiple plans and then applying a selection procedure to extract diverse solutions using a similarity metric. Generally, current similarity metrics only consider the structural properties of the given plans. We argue that this approach is a limitation that sometimes prevents such metrics from capturing why two plans differ.

arXiv     Oct 04, 2023

Protect essential workers in housing crisis - Eurocities

The housing crisis is worsening. Housing affordability is becoming an increasingly growing concern in urban areas throughout Europe where property costs are rising much faster than people’s incomes.

eurocities.eu     Sep 28, 2023

Genetic Engineering Algorithm (GEA): An Efficient Metaheuristic Algorithm for Solving Combinatorial Optimization Problems. (arXiv:2309.16413v1 [cs.NE])

science

Genetic Algorithms (GAs) are known for their efficiency in solving combinatorial optimization problems, thanks to their ability to explore diverse solution spaces, handle various representations, exploit parallelism, preserve good solutions, adapt to changing dynamics, handle combinatorial diversity, and provide heuristic search. However, limitations such as premature convergence, lack of problem-specific knowledge, and randomness of crossover and mutation operators make GAs generally inefficient in finding an optimal solution. To address these limitations, this paper proposes a new metaheuristic algorithm called the Genetic Engineering Algorithm (GEA) that draws inspiration from genetic engineering concepts. GEA redesigns the traditional GA while incorporating new search methods to isolate, purify, insert, and express new genes based on existing ones, leading to the emergence ...

arXiv     Oct 01, 2023

How AI will impact the Indian pharmaceutical industry | Mint - Mint

As the Indian pharmaceutical industry stands at the crossroads of tradition and technology, AI emerges as a transformative force poised to revolutionize drug discovery, development, and patient care.

livemint.com     Sep 29, 2023